International Conference on Managing Forest Resources for Multiple Ecosystem Services under Robust and Fragile Environments, Phnom Penh, Cambodia, 10 Aug. 2010
Using global positioning system (GPS) technology for tree marking in a natura...Toshiaki Owari
FORMATH TACHIKAWA 2010 (the 10th Anniversary Forest Resource Management and Mathematical Modeling International Symposium), Tachikawa, Japan, 13 Mar. 2010
Determination of Proton Energy and Dosage to Obtain SOBP Curve in the Proton ...IJERA Editor
In this research, calculations and simulations to obtain SOBP curve on the model of the thyroid tumor were done
by determining the energy and the number of protons in each beam of protons. Simulations carried out with the
help of the SRIM and TRIM code, while the computational calculations and graphics were done with python.
The SOBP curve profile obtained from this study is flatter in the region of the tumor compared to previous
results by other researchers, and can be concluded that tumor tissue receives a uniform lethal dose, while other
normal tissues surrounding receive non-lethal doses. Quantitatively, if the dose received by the tumor tissue is
expressed as 100% dose, the dose received by healthy tissue outside the tumor is a maximum of 92%.In a
further development, this research method can be applied to other tissue model based on the image of the CTSCAN
containing tumor tissue.
Algorithm for detecting deforestation and forest degradation using vegetation...TELKOMNIKA JOURNAL
In forestry sector, the remote sensing technology hold a key role on forest inventory and
monitoring their changes. This paper describes the algorithm for detecting deforestation and forest
degradation using high resolution satellite imageries with knowledge-based approach. The main objective
of the study is to develop a practical technique for monitoring deforestation and forest degradation
occurred within the mangrove and swamp forest ecosystem. The SPOT 4, 5, and 6 images acquired in
2007, 2012 and 2014 were transformed into three vegetation indices, i.e., Normalized Difference
Vegetation Index (NDVI), Green-Normalized Difference Vegetation index (GNDVI) and Normalized
Green-Red Vegetation index (NRGI). The study found that deforestation was well detected and identified
using the NDVI and GNDVI, however the forest degradation could be well detected using NRGI, better
than NDVI and GNDVI. The study concludes that the strategy for monitoring deforestation, biomass-based
forest degradation as well as forest growth could be done by combining the use of NDVI, GNDVI and
NRGI respectively.
PROFILE DOSE AND PDD ANALYSIS IN SMALL PHOTON FIELD WITH PTW PINPOINT CHAMBER...AM Publications
: Profile dose and PDD of a small field 6MV have been measured using a PTW PinPoint Chamber 0.015 cc detector. The aim of this study is to analyze the profile dose and PDD of small field using PTW PinPoint Chamber detector 0.015 cc. From the results of this study is expected optimal dose measurement accuracy can be achieved in clinical treatment. The analysis includes calculating the symmetry, penumbra value and PDD. Linear accelerator Electa Precise Treatment SystemTM and PTW PinPoint Chamber 0.015cc are the material used in this research. Profile Dose and PDD were measured with an SSD technique in 100 cm with a various of field sizes and depths. The results showed that the symmetry values for depth variations would decrease in ranges (0.55-6.27)% when the depth increase, and for field size variations will decrease in range (0.39-6.27)%. when the filed size increase. The result of the penumbra analysis shows that its value is more than 4 mm for all variations of depth and field size. PDD results showed that maximum dose for all fields size is achieved in maksimum depth (1.4 – 1.7) cm.
A STUDY ON WEED DISCRIMINATION THROUGH WAVELET TRANSFORM, TEXTURE FEATURE EXT...ijcsit
Texture based weed classification has played an important role in agricultural applications. In the recent years weed classification based on wavelet transform is an effective method. But the feature extraction is main issue for proper classification of weed species. In this paper, the issue of statistical and texture
classification based on wavelet transform has been analysed. The efficient texture feature extraction
methods are developed for weed discrimination. Three group feature vector can be constructed by the mean
and standard deviation of the wavelet statistical features (WSF), Texture feature as Contrast, Cluster
Shade, Cluster Prominence and Local Homogeneity (WCSPH) and Energy, Correlation, Cluster Shade,
Cluster Prominence and Entropy features (WECSPE) which are derived from the sub-bands of the wavelet
decomposition and are used for classification. Experimental results show that Rbio33 Wavelet with
WECSPE texture feature obtaining high degree of success rate in classification.
Using global positioning system (GPS) technology for tree marking in a natura...Toshiaki Owari
FORMATH TACHIKAWA 2010 (the 10th Anniversary Forest Resource Management and Mathematical Modeling International Symposium), Tachikawa, Japan, 13 Mar. 2010
Determination of Proton Energy and Dosage to Obtain SOBP Curve in the Proton ...IJERA Editor
In this research, calculations and simulations to obtain SOBP curve on the model of the thyroid tumor were done
by determining the energy and the number of protons in each beam of protons. Simulations carried out with the
help of the SRIM and TRIM code, while the computational calculations and graphics were done with python.
The SOBP curve profile obtained from this study is flatter in the region of the tumor compared to previous
results by other researchers, and can be concluded that tumor tissue receives a uniform lethal dose, while other
normal tissues surrounding receive non-lethal doses. Quantitatively, if the dose received by the tumor tissue is
expressed as 100% dose, the dose received by healthy tissue outside the tumor is a maximum of 92%.In a
further development, this research method can be applied to other tissue model based on the image of the CTSCAN
containing tumor tissue.
Algorithm for detecting deforestation and forest degradation using vegetation...TELKOMNIKA JOURNAL
In forestry sector, the remote sensing technology hold a key role on forest inventory and
monitoring their changes. This paper describes the algorithm for detecting deforestation and forest
degradation using high resolution satellite imageries with knowledge-based approach. The main objective
of the study is to develop a practical technique for monitoring deforestation and forest degradation
occurred within the mangrove and swamp forest ecosystem. The SPOT 4, 5, and 6 images acquired in
2007, 2012 and 2014 were transformed into three vegetation indices, i.e., Normalized Difference
Vegetation Index (NDVI), Green-Normalized Difference Vegetation index (GNDVI) and Normalized
Green-Red Vegetation index (NRGI). The study found that deforestation was well detected and identified
using the NDVI and GNDVI, however the forest degradation could be well detected using NRGI, better
than NDVI and GNDVI. The study concludes that the strategy for monitoring deforestation, biomass-based
forest degradation as well as forest growth could be done by combining the use of NDVI, GNDVI and
NRGI respectively.
PROFILE DOSE AND PDD ANALYSIS IN SMALL PHOTON FIELD WITH PTW PINPOINT CHAMBER...AM Publications
: Profile dose and PDD of a small field 6MV have been measured using a PTW PinPoint Chamber 0.015 cc detector. The aim of this study is to analyze the profile dose and PDD of small field using PTW PinPoint Chamber detector 0.015 cc. From the results of this study is expected optimal dose measurement accuracy can be achieved in clinical treatment. The analysis includes calculating the symmetry, penumbra value and PDD. Linear accelerator Electa Precise Treatment SystemTM and PTW PinPoint Chamber 0.015cc are the material used in this research. Profile Dose and PDD were measured with an SSD technique in 100 cm with a various of field sizes and depths. The results showed that the symmetry values for depth variations would decrease in ranges (0.55-6.27)% when the depth increase, and for field size variations will decrease in range (0.39-6.27)%. when the filed size increase. The result of the penumbra analysis shows that its value is more than 4 mm for all variations of depth and field size. PDD results showed that maximum dose for all fields size is achieved in maksimum depth (1.4 – 1.7) cm.
A STUDY ON WEED DISCRIMINATION THROUGH WAVELET TRANSFORM, TEXTURE FEATURE EXT...ijcsit
Texture based weed classification has played an important role in agricultural applications. In the recent years weed classification based on wavelet transform is an effective method. But the feature extraction is main issue for proper classification of weed species. In this paper, the issue of statistical and texture
classification based on wavelet transform has been analysed. The efficient texture feature extraction
methods are developed for weed discrimination. Three group feature vector can be constructed by the mean
and standard deviation of the wavelet statistical features (WSF), Texture feature as Contrast, Cluster
Shade, Cluster Prominence and Local Homogeneity (WCSPH) and Energy, Correlation, Cluster Shade,
Cluster Prominence and Entropy features (WECSPE) which are derived from the sub-bands of the wavelet
decomposition and are used for classification. Experimental results show that Rbio33 Wavelet with
WECSPE texture feature obtaining high degree of success rate in classification.
Image registraion is vital component in modern radiotherpay. Accuracy is important as output of image registraion process is input of another process in radiation therapy
Comparing canopy density measurement from UAV and hemispherical photography: ...IJECEIAES
UAV and hemispherical photography are common methods used in canopy density measurement. These two methods have opposite viewing angles where hemispherical photography measures canopy density upwardly, while UAV captures images downwardly. This study aims to analyze and compare both methods to be used as the input data for canopy density estimation when linked with a lower spatial resolution of remote sensing data i.e. Landsat image. We correlated the field data of canopy density with vegetation indices (NDVI, MSAVI, and AFRI) from Landsat-8. The canopy density values measured from UAV and hemispherical photography displayed a strong relationship with 0.706 coefficient of correlation. Further results showed that both measurements can be used in canopy density estimation using satellite imagery based on their high correlations with Landsat-based vegetation indices. The highest correlation from downward and upward measurement appeared when linked with NDVI with a correlation of 0.962 and 0.652, respectively. Downward measurement using UAV exhibited a higher relationship compared to hemispherical photography. The strong correlation between UAV data and Landsat data is because both are captured from the vertical direction, and 30 m pixel of Landsat is a downscaled image of the aerial photograph. Moreover, field data collection can be easily conducted by deploying drone to cover inaccessible sample plots.
Image registration and data fusion techniques.pptx latest saveM'dee Phechudi
Medical imaging is the fundamental tool in conformal radiation therapy. Almost every aspect of patient management involves some form of two or three dimensional image data acquired using one or more modality.
Image data are now used for diagnosis and staging, for treatment planning and delivery and for monitoring patients after therapy.
A SIMPLE IMAGE PROCESSING APPROACH TO ABNORMAL SLICES DETECTION FROM MRI TUMO...ijma
This paper proposed a method for brain tumor detection from the magnetic resonance imaging (MRI) of
human head scans. The proposed work explained the tumor detection process by means of image
processing transformations and thresholding technique. The MRI images are preprocessed by
transformation techniques and thus enhance the tumor region. Then the images are checked for
abnormality using fuzzy symmetric measure (FSM). If abnormal, then Otsu’s thresholding is used to extract
the tumor region. Experiments with the proposed method were done on 17 datasets. Various evaluation
parameters were used to validate the proposed method. The predictive accuracy (PA) and dice coefficient
(DC) values of proposed method reached maximum.
Optimization of Solar Drying of Blanched and Unblanched Aerial Yam using Resp...ijtsrd
This paper focuses on the application of response surface methodology RSM for the modelling and optimization of unblanched and blanched aerial yam drying using solar dryer. Mass in gram of the sample, slice thickness of the sample, and the airspeed of dryer are the independent variables considered, while the response of interest is the moisture content. RSM via central composite design CCD was used to optimize the variables of interest, while artificial neural network was used to validate the result. The result showed that a second order polynomial regression model could convincingly interpret the drying process of the aerial yam. A coefficient of determination R2 value of 0.9991 and 0.9828, model F value of 1186.03 and 60.75 for unblanched and blanched aerial yam respectively were obtained. P value 0.0001 , and low value of coefficient of variation 2.43 and 9.75 for unblanched and blanched sample indicated the fitness of the model. The optimum process variable obtained were 71 g, 3.2 mm and 1.5 m s, and 70 g, 3.0 mm and 1.5 m s for blanched and unblanched sample, respectively. Emmanuel C. Nwadike. | Matthew N. Abonyi. | Joseph T. Nwabanne. | Pascal E. Ohale "Optimization of Solar Drying of Blanched and Unblanched Aerial Yam using Response Surface Methodology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30598.pdf Paper Url :https://www.ijtsrd.com/engineering/mechanical-engineering/30598/optimization-of-solar-drying-of-blanched-and-unblanched-aerial-yam-using-response-surface-methodology/emmanuel-c-nwadike
Management and Research of Conifer-Hardwood Mixed Forests at the University o...Toshiaki Owari
Hokkaido, a northern island of Japan, is situated in an area of mixed forest with coniferous and hardwood species between the cool-temperate and the sub-boreal zone. Single-tree selection system has been widely employed since the early 20th century as a major option to manage multi-aged and mixed forests. The University of Tokyo (UT) has owned and managed 23 thousand hectare of forests in the central part of Hokkaido since 1899. The stand-based silvicultural management system has been implemented at the UT Hokkaido Forest for over 50 years to maximize multiple public and economic functions of forest ecosystems. After a brief introduction of forest and forestry in Japan and Hokkaido, I will present recent practices and research activities at the UT Hokkaido Forest for managing conifer-hardwood mixed forests in northern Japan.
Source: Owari, T.: Management and research of conifer-hardwood mixed forests at the University of Tokyo Hokkaido Forest, northern Japan. ICAAM Seminar, University of Evora, Portugal, 13 Jul. 2012
Timber production, prices and end-use in a forest business in central Hokkaid...Toshiaki Owari
Forest Products Marketing and Business Management & the UNECE/FAO Team of Specialists on Forest Products Markets and Marketing: Joint Pre-Conference to the IUFRO World Congress in Seoul, Hokkaido, Japan, 18 Aug. 2010
Startupfest 2015: MITCH JOEL (Mirum) - Lightning KeynoteStartupfest
Disruption, disruption everywhere.
Digital Marketing is about as progressive as an industry as there is. The growth in this industry has created a very long (and very wide) runway. Many in digital marketing are considered the disrupters. Very similar to what you, as a startup, are doing today. Still, many in my industry went from being a “blue ocean” to a “bloody red sea.” How did this happen so fast? Who are the players? They are the same types of businesses that your startup needs to look out for. Beware! Just because you’re a disruptor, it doesn’t mean that you won’t be disrupted tomorrow!
Image registraion is vital component in modern radiotherpay. Accuracy is important as output of image registraion process is input of another process in radiation therapy
Comparing canopy density measurement from UAV and hemispherical photography: ...IJECEIAES
UAV and hemispherical photography are common methods used in canopy density measurement. These two methods have opposite viewing angles where hemispherical photography measures canopy density upwardly, while UAV captures images downwardly. This study aims to analyze and compare both methods to be used as the input data for canopy density estimation when linked with a lower spatial resolution of remote sensing data i.e. Landsat image. We correlated the field data of canopy density with vegetation indices (NDVI, MSAVI, and AFRI) from Landsat-8. The canopy density values measured from UAV and hemispherical photography displayed a strong relationship with 0.706 coefficient of correlation. Further results showed that both measurements can be used in canopy density estimation using satellite imagery based on their high correlations with Landsat-based vegetation indices. The highest correlation from downward and upward measurement appeared when linked with NDVI with a correlation of 0.962 and 0.652, respectively. Downward measurement using UAV exhibited a higher relationship compared to hemispherical photography. The strong correlation between UAV data and Landsat data is because both are captured from the vertical direction, and 30 m pixel of Landsat is a downscaled image of the aerial photograph. Moreover, field data collection can be easily conducted by deploying drone to cover inaccessible sample plots.
Image registration and data fusion techniques.pptx latest saveM'dee Phechudi
Medical imaging is the fundamental tool in conformal radiation therapy. Almost every aspect of patient management involves some form of two or three dimensional image data acquired using one or more modality.
Image data are now used for diagnosis and staging, for treatment planning and delivery and for monitoring patients after therapy.
A SIMPLE IMAGE PROCESSING APPROACH TO ABNORMAL SLICES DETECTION FROM MRI TUMO...ijma
This paper proposed a method for brain tumor detection from the magnetic resonance imaging (MRI) of
human head scans. The proposed work explained the tumor detection process by means of image
processing transformations and thresholding technique. The MRI images are preprocessed by
transformation techniques and thus enhance the tumor region. Then the images are checked for
abnormality using fuzzy symmetric measure (FSM). If abnormal, then Otsu’s thresholding is used to extract
the tumor region. Experiments with the proposed method were done on 17 datasets. Various evaluation
parameters were used to validate the proposed method. The predictive accuracy (PA) and dice coefficient
(DC) values of proposed method reached maximum.
Optimization of Solar Drying of Blanched and Unblanched Aerial Yam using Resp...ijtsrd
This paper focuses on the application of response surface methodology RSM for the modelling and optimization of unblanched and blanched aerial yam drying using solar dryer. Mass in gram of the sample, slice thickness of the sample, and the airspeed of dryer are the independent variables considered, while the response of interest is the moisture content. RSM via central composite design CCD was used to optimize the variables of interest, while artificial neural network was used to validate the result. The result showed that a second order polynomial regression model could convincingly interpret the drying process of the aerial yam. A coefficient of determination R2 value of 0.9991 and 0.9828, model F value of 1186.03 and 60.75 for unblanched and blanched aerial yam respectively were obtained. P value 0.0001 , and low value of coefficient of variation 2.43 and 9.75 for unblanched and blanched sample indicated the fitness of the model. The optimum process variable obtained were 71 g, 3.2 mm and 1.5 m s, and 70 g, 3.0 mm and 1.5 m s for blanched and unblanched sample, respectively. Emmanuel C. Nwadike. | Matthew N. Abonyi. | Joseph T. Nwabanne. | Pascal E. Ohale "Optimization of Solar Drying of Blanched and Unblanched Aerial Yam using Response Surface Methodology" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30598.pdf Paper Url :https://www.ijtsrd.com/engineering/mechanical-engineering/30598/optimization-of-solar-drying-of-blanched-and-unblanched-aerial-yam-using-response-surface-methodology/emmanuel-c-nwadike
Management and Research of Conifer-Hardwood Mixed Forests at the University o...Toshiaki Owari
Hokkaido, a northern island of Japan, is situated in an area of mixed forest with coniferous and hardwood species between the cool-temperate and the sub-boreal zone. Single-tree selection system has been widely employed since the early 20th century as a major option to manage multi-aged and mixed forests. The University of Tokyo (UT) has owned and managed 23 thousand hectare of forests in the central part of Hokkaido since 1899. The stand-based silvicultural management system has been implemented at the UT Hokkaido Forest for over 50 years to maximize multiple public and economic functions of forest ecosystems. After a brief introduction of forest and forestry in Japan and Hokkaido, I will present recent practices and research activities at the UT Hokkaido Forest for managing conifer-hardwood mixed forests in northern Japan.
Source: Owari, T.: Management and research of conifer-hardwood mixed forests at the University of Tokyo Hokkaido Forest, northern Japan. ICAAM Seminar, University of Evora, Portugal, 13 Jul. 2012
Timber production, prices and end-use in a forest business in central Hokkaid...Toshiaki Owari
Forest Products Marketing and Business Management & the UNECE/FAO Team of Specialists on Forest Products Markets and Marketing: Joint Pre-Conference to the IUFRO World Congress in Seoul, Hokkaido, Japan, 18 Aug. 2010
Startupfest 2015: MITCH JOEL (Mirum) - Lightning KeynoteStartupfest
Disruption, disruption everywhere.
Digital Marketing is about as progressive as an industry as there is. The growth in this industry has created a very long (and very wide) runway. Many in digital marketing are considered the disrupters. Very similar to what you, as a startup, are doing today. Still, many in my industry went from being a “blue ocean” to a “bloody red sea.” How did this happen so fast? Who are the players? They are the same types of businesses that your startup needs to look out for. Beware! Just because you’re a disruptor, it doesn’t mean that you won’t be disrupted tomorrow!
Mapping of Wood Carbon Stocks in the Classified Forest of Wari-Maro in Benin ...AI Publications
The Emissions Reducing program related to Deforestation and Forest Degradation (Redd +) calls for the development of approaches to quantify and spatialize forest carbon in order to design more appropriate forest management policies. The mapping of carbon stocks was done in the Wari-Maro Forest Reserve. To achieve this, forest inventory data (in situ) and remotely sensed data (Landsat 8 image) were used to construct a wood carbon stock forecasting model. Simple linear regression was used to test the correlation between these two variables. In situ surveys indicate that 64% of carbon stocks are contributed by forest formations, 32.72% are provided by savannah formations and 3.27% are from anthropogenic formations. The quantitative relationship between NDVI and carbon in situ shows a very good correlation with a high coefficient of determination R² = 91%. The carbon map generated from the model identified fronts of deforestation through their low carbon content. This remote sensing approach indicates that forest formations sequester 60% of forest carbon. The savannah formations reserve 33%, the anthropic formations bring only 6% of the stocks. Mapping has further captured the spatial variability among land use types, thus providing arguments to fully meet the objectives of Redd +.
Carbon stock of woody species along Altitude gradient in Alemsaga Forest, Sou...Agriculture Journal IJOEAR
Purpose: Forest ecosystems play a significant role in the climate change mitigation and biodiversity conservation. Therefore carbon determination provide clear indications of the possibilities of promoting forest development and management for mitigating of climate change through soil and vegetation carbon sequestration. The study was carried out to quantify carbon stock potential in Alemsaga Forest, South Gondar zone. Research method: Vegetation data Collection was made using a systematic sampling method; laying six transect lines with 500 m apart and 54 quadrants of 20 m X 20 m established 200 m distant to each other along the transect lines. In these plots, abundance, DBH and heights of all woody species were recorded, and soil sample was collected 1m X1m from the four corners and center of each quadrant. General allometric model was used for estimating above and belowground biomass. The organic carbon content of the soil samples was determined in the laboratory. Finding: A total of 66 woody plant species belong to 42 families were identified, Fabaceae was the most dominant families. The total mean above and belowground carbon stock was 216.86 ton/ha and 114.71 ton/ha respectively and soil organic carbon (SOC) 103.15 ton/ha. Above and belowground carbon increased as altitude decreased, but SOC increases with increase of altitude. Originality/value: Carbon stock estimation in the forest helps to manage the forests sustainably from the ecological, economic and environmental points of view and opportunities for economic benefit through carbon trading to farmers.
Carbon Stocks Estimation in South East Sulawesi Tropical Forest, Indonesia, u...ijceronline
This paper was aimed to estimate carbon stocks in South East Sulawesi tropical forest, Indonesia, using Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR). Two coherence Synthetic Aperture Radar (SAR) images of ALOS PALSAR full-polarimetric were used in this research. The research method is forming Random Volume over Ground (RVoG) model from interferometric phase coherence of two Full-Polarimetric ALOS PALSAR which temporal baseline is 46 days. Due to temporal decorrelation, coherence optimization was conducted to produce image with optimum coherences. The result showed that the RVoG forest height and carbon stocks which obtained from height inversion has a positive correlation with ground measurement.
Effects of climate change and deforestation on potential of carbon sequestrat...World Agroforestry (ICRAF)
Presentation by Mulugeta Mokria, Dr Aster Gebrekirstos, Dr Ermias Aynekakulu and Prof Dr Achim Brauning based on a study to investigate the current extent of forest degradation due to climate change in Ethiopia. The study also quantified the effects of tree dieback on aboveground carbon stock and the carbon sequestration potential. \
effects of pruning on diameter and height growth of pinus nigra arnold subspIJEAB
Pruning is a costly silvicultural operation and allows the production of high value timber. Effect of pruning on black pine and especially on Anatolian black pine (Pinus nigra Arnold subsp. pallasina) is not well known. The objective of the study was to evaluate pruning effects on diameter and height growth of Anatolian black pine. Pruned and the control treatments were carried out using 20 year old black pine plantation in Çorum providence of Turkey. Three pruning treatments were applied in 2004, 2009 and 2016 and diameter and height growths of trees were measured. Each pruning was done from the bottom to include one third of the crown. At the beginning of the study (first pruning) and after 5 years of the first pruning no difference was observed for DBH and height growth. However, diameter and height growth became important after 12 years of pruning between pruned and control stands. Results show that pruning could increase diameter growth and height of Anatolian black pine stands. To better understand, further detailed studies must be carried out investigating site effects, plant density and environmental variations.
Assessment of biomass and carbon sequestration potentials of standing Pongami...Surendra Bam
The need of identifying the plant species having multitude value in present world are essential. Even in the Climate Change mitigation measures, the utilization of those plant species having economical value like bio-disel as well as can play their role of carbon sequestration.
Geoinformation support of forest management for sustainable development of th...Liashenko Dmytro
The global trend of forest overcutting is an important
the object of research in connection with climate change
and the need to ensure the sustainable development of
territories. An important issue is an adaptation of
sustainable development goals for a particular forest
areas. The territory of the Tyachiv district of the
Zakarpattia region in Ukraine was chosen as a key
region. A list of stakeholders interested in conflict-free
and inexhaustible forest use has been identified. The
the paper analyzes the existing approaches to sustainable
forest use proposes a conceptual model of forest
management (major stakeholders and their interests),
identifies features of the methodology of
geoinformation support for management and control
of forest use and forest protection.
Characterizing Forest Degradation and Carbon Biomass Assessment in Tropical ...CIFOR-ICRAF
This presentation, presented at the 36th International Symposium on Remote Sensing of Environment, explains the importance of peatlands to Indonesia as well as their contribution to carbon emissions. ALOS PALSAR data and above ground biomass assessments are used to map peatlands.
Assessing mangrove deforestation using pixel-based image: a machine learning ...journalBEEI
Mangrove is one of the most productive global forest ecosystems and unique in linking terrestrial and marine environment. This study aims to clarify and understand artificial intelligence (AI) adoption in remote sensing mangrove forests. The performance of machine learning algorithms such as random forest (RF), support vector machine (SVM), decision tree (DT), and object-based nearest neighbors (NN) algorithms were used in this study to automatically classify mangrove forests using orthophotography and applying an object-based approach to examine three features (tree cover loss, above-ground carbon dioxide (CO2) emissions, and above-ground biomass loss). SVM with a radial basis function was used to classify the remainder of the images, resulting in an overall accuracy of 96.83%. Precision and recall reached 93.33 and 96%, respectively. RF performed better than other algorithms where there is no orthophotography.
From the event:
COP20/CMP10 UN Climate Change Conference.
Organized by the UNEP and UNFCCC COP. Lima, Peru. (December 1st – 12th 2014).
http://www.mmechanisms.org/e/cop20_japanpavilion/
Predictive Vegetation Mapping of Bara and Rautahat Districts Using ANNDavis Nhemaphuki
Using Artificial Neural Network Model for the prediction of forest cover of Rautahat an Bara district. Analyze the changing pattern of the forest in these area.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
From Siloed Products to Connected Ecosystem: Building a Sustainable and Scala...
Precision management of selection forests using innovative surveying technologies in Hokkaido, Japan
1. Precision Management of Selection Forests Using Innovative Surveying Technologies in Hokkaido, Japan Dr. Toshiaki Owari Assistant Director and Lecturer Hokkaido Forest, The University of Tokyo, Japan
2. Precision Forestry … … refers to “planning and conducting site-specific forest management activities and operations to improve wood product quality and utilization, reduce waste, increase profits, and maintain the quality of the environment” (Taylor et al., 2002) The concept emerged in late 1990’s in Washington State, USA … uses geospatial information and technologies (GPS, GIS, etc.) to assist forest management planning and to improve operational efficiency (Taylor et al., 2002) 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 2
3. Precision Forestry andReduced Impact Logging Precision forestry may be a useful concept for the implementation of reduced impact logging (RIL), because it requires detailed inventories in which the trees to be harvested are mapped, marked and measured (Putzet al., 2008) Selection logging using RIL techniques will increase forest retention of carbon compared to conventional logging (Putzet al., 2008) Under the REDD-plus mechanism, all signatory countries will be required to adopt a sound logging system such as RIL (Sasaki and Yoshimoto, 2010) 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 3
4. Precision Forestry in Hokkaido, Japan In recent years, precision forestry has successfully been introduced to selection logging at the University of Tokyo Forest in central Hokkaido, northern Japan The adoption of laser-based survey system has improved operational efficiency for identifying the forests to be harvested Recent advances in global positioning system (GPS) technology enable us to pinpoint the geographic location of marked trees for harvest 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 4
5. Purpose To present practical applications of innovative surveying technologies to the precision management of selection forests in Hokkaido, Japan Selection forest refers to a forest managed with an uneven-aged silvicultural system, in which trees are removed individually from a large area periodically (Zingg et al., 1999) Topics include: The use of laser-based survey system for stand classification The use of GPS for tree marking 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 5
6. 2010/08/10 Phnom Penh, Cambodia (Owari, T.) The Univ. of Tokyo Hokkaido Forest Located in Furano, Hokkaido 43°10´- 20´ N, 142°20´- 40´ E Between the cool-temperate and the sub-boreal zone 22,733 ha of forestland Established in 1899 Natural mixed forest with coniferous and broad-leaved species The average growing stock is 210 m3/ha The cutting volume was 21,000 m3in 2009 6
11. Using Laser-based Survey System for Stand Classification 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 11
12. Stand Classification … serves as the basis for spatial management planning on where to be cut (Owariet al., 2007) … identifies selection forests where natural regeneration is expectable so that selection logging is applicable (Takahashi, 2001) In-depth ground surveys are essential for stand classification (Owariet al., 2009) 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 12
13. Ground Survey for Stand Classification The ground survey was formerly conducted using a pocket compass with a measuring rope Although this method was reasonably accurate, it required much time and effort Laser-based survey system has been introduced to stand classification surveys since 2008 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 13
14. Laser-based Survey System TruPulse 200 with Mapstar compass module (Laser Technology, Inc., CO, USA) Archer Field PC (Juniper Systems, Inc. , UT, USA) GeoSketch 2 (TimberTech Co., Ltd., Japan) 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 14
15. Stand Classification Map Example: sub-comp. 66A Area: 106.27 ha, of which 29.23 ha were classified as selection forest Effectiveness of laser-based traverse survey (Tookuniet al., 2010) Mean error of closure: 1.3 m Number of survey crew: 2-3 (from 4) Time for in-house data processing: 1/6 of the conventional method 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 15
17. Stand Visualization using Forest Window 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 17 Before Harvest After Harvest Note: Dark Green: Conifer, Light Green: Broad-leaves, Red: Harvest trees
18. Using GPS for Tree Marking 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 18
19. Tree Marking … is an essential technique in single-tree selection system (Owariet al., 2010) … involves the careful selection of trees for harvest according to forest management objectives (OMNR, 2004) … affects the growth, quality and regeneration of a stand 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 19
20. Record of Marked Tree Locations Previously, the tree marker wrote down tracks and approximate positions of marked trees by hand during marking operations Since precise locations were not prepared, loggers and managers experienced trouble finding marked trees GPS has been introduced to tree marking operations since 2008 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 20
21. Positional Data Collection by GPS GPS receiver GPSMAP 60CSx (Garmin Ltd.) Small, handy, and easy to use Relatively easy GPS signal reception in a forested area (Tsuyukiet al., 2006) Marking the location (waypoint) Stand by the stem Stay shortly Press “MARK” and “ENTER” buttons by one hand 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 21
22. 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 22 Mapping of Marked Trees During April - May 2008 (defoliated season) Rate of removals: 16 % of the standing volume (a total of 1,565 trees were selected and marked) All positions were successfully measured Mean positional error was 5.7 m
23. Intersection with Selection Forests 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 23 Using the “select by location” option of ArcGIS 9.3 (ESRI Corp., CA, USA), trees that intersect with polygon features of selection forest can be extracted Of 1,565 trees, 410 (26%) were located outside the selection forests
24. Harvest Intensity 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 24 Spatial distribution of harvest intensity (trees ha-1) can be identified by calculating the point density of marked trees Mean density within selection forest was 35.3 trees ha-1
25. Summary Using laser-based survey system for stand mapping, we can … … accurately identify the area for selection logging … reduce the number of crew for ground surveys … save the time for in-house data processing Using GPSfor tree marking, we can … … easily record the location of trees that were marked for harvest … produce the information on where marked trees are located … know exactly how tree marking operations are implemented 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 25
26. Concluding Remarks Innovative surveying technologies such as laser-based survey system and GPS may be useful tools for forest managers in Cambodia We are happy to share the know-how on precision forestrywith selection logging 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 26
27. Thank you! This paper was partly supported by the Japan Society for the Promotion of Science, Grant-in-Aid for Young Scientists (B), 20710035, 2008 – 2010 (Corresponding address: owari@uf.a.u-tokyo.ac.jp) 2010/08/10 Phnom Penh, Cambodia (Owari, T.) 27