In this paper, we use Induced Fuzzy Relational Mappings (IFRM) to analyze the problem of health hazards faced by the sugarcane cultivators due to chemical pollution. Based on our study, we made conclusions and suggest some remedial measures.
Determinant of Non-Organic Farming in Enrekang District of South SulawesiIJEABJ
This document discusses a study on the determinants of non-organic farming in Enrekang District, South Sulawesi, Indonesia. The study used Interpretative Structural Modeling (ISM) analysis to identify the persistent determinants. The results found three key determinants: 1) availability of facilities and infrastructure for organic farming; 2) ease and practical application of production facilities like fertilizers and pesticides; and 3) easy market access for non-organic products. The study aims to provide information to help policymaking around organic farming development.
This document outlines a proposed farmer assistant robot project, including its objectives, block diagram, methodology, hardware/software components, results, and future applications. It aims to reduce farmers' manual labor and protect them from harsh environmental conditions by automating tasks like fruit picking, pesticide spraying, and watering plants based on humidity levels. The project will implement a proposed Vedic multiplier in a Microwind design and analyze its performance and tradeoffs. It references several papers on autonomous fruit picking robots and on-tree fruit recognition using texture and color analysis. Potential applications include security monitoring, remote plant disease diagnosis, and water conservation efforts.
an analysis of the influential advantage of bio treatment over mechanical pro...INFOGAIN PUBLICATION
The economy of any nation is determined by the development of its industrial sectors. One of the most vibrant industries is leather industry. The process of it comprises of three stages among which tanning is the core action as it gives glow to the product. But, at the same time the material Chromium used for tanning indeed exploit the environment as it has toxic effects on all the organisms. The discharge of effluents contains Chromium (Cr) VI which is very hazardous; therefore the industries apply certain mechanical filtration process of converting Cr VI to Cr III which is comparatively less harmful than Cr VI. The execution of such mechanical processing is not practically feasible so industries have begun to drift towards bio treatment. In general, the literature of earlier works sketch out many merits of switching from mechanical to bio processing, but the most influencing merit has not yet clearly stated. Therefore this research work is an effort of determining it so as to stimulate it for mitigating the toxicity in a most comprehensive manner. In order to accomplish this task systematically, the mathematical tool, Fuzzy Cognitive Map is used in this paper.
This document summarizes a study comparing the life cycle assessment of traditional, semi-mechanized, and mechanized sugar beet production systems in Iran. The study developed a life cycle inventory from 93 sugar beet farms to analyze environmental impacts. It found that mechanized sugar beet farms had lower impacts across all categories than traditional and semi-mechanized farms. Irrigation, field emissions, and chemical fertilizer production contributed most to environmental impacts. Results showed environmental impacts in Iran were 2 to 40 times higher than in Switzerland. The study aims to provide a comprehensive inventory to enable life cycle assessments of sugar beet production and identify opportunities to improve environmental and economic sustainability.
Identification of optimum agricultural practicesSuraj Kumar
The document presents a major project on identifying optimal agricultural practices in Jharkhand state, India. It discusses the motivation to minimize losses and maximize yields. The proposed methodology includes collecting an agricultural database, identifying input/output features, and designing an artificial neural network model to analyze previous data and predict best combinations of crops, pesticides, soils and weather. A prototype frontend was created in MS Paint to be later implemented in Django-Python. Suggestions from prior evaluations such as adding new methodologies and designing the system prototype were addressed.
Intelligent Chemical Fertilizer Recommendation System for Rice Fields IIJSRJournal
In this paper, a recommendation system for supplementary chemical fertilizers of rice fields is proposed using data mining methods. Traditionally, an expert determines the necessary amount of chemical fertilizer for each field after testing the amount of existing organic materials in the soil. The recommendation provided by the expert is a combination of agricultural science and region-specific conditions. In this paper, thru recognizing the existing pattern in recommendations proposed by two groups of experts for the agricultural lands in Mazandaran Province in recent years, a predictive model is proposed. Different artificial intelligence techniques are compared with each other and the best one among them is introduced
Ocular pharmacokinetics studies the mechanisms of drug absorption, distribution, metabolism, and excretion in the eye. In vivo pharmacokinetic studies of drug delivery to the posterior eye segment can be performed in three ways: 1) administering drugs to rabbits and analyzing tissue, 2) using microdialysis probes in rabbits, or 3) administering fluorescent drugs to rats and analyzing under a microscope. Examples are provided of studies using fluorescent dyes and drugs administered via eye drops in various animal models, with outcomes like drug localization in ocular tissues.
This document provides a summary of new additions to the National Repository of Science & Technology Literature in Sri Lanka for October 2013. It lists over 20 new publications across various subject areas including agriculture, biochemistry, biological sciences, economics, engineering, environmental sciences, food science, geology, health and medical sciences, and physics. All items are available at the NSLRC and copies can be requested by contacting info@nsf.ac.lk.
Determinant of Non-Organic Farming in Enrekang District of South SulawesiIJEABJ
This document discusses a study on the determinants of non-organic farming in Enrekang District, South Sulawesi, Indonesia. The study used Interpretative Structural Modeling (ISM) analysis to identify the persistent determinants. The results found three key determinants: 1) availability of facilities and infrastructure for organic farming; 2) ease and practical application of production facilities like fertilizers and pesticides; and 3) easy market access for non-organic products. The study aims to provide information to help policymaking around organic farming development.
This document outlines a proposed farmer assistant robot project, including its objectives, block diagram, methodology, hardware/software components, results, and future applications. It aims to reduce farmers' manual labor and protect them from harsh environmental conditions by automating tasks like fruit picking, pesticide spraying, and watering plants based on humidity levels. The project will implement a proposed Vedic multiplier in a Microwind design and analyze its performance and tradeoffs. It references several papers on autonomous fruit picking robots and on-tree fruit recognition using texture and color analysis. Potential applications include security monitoring, remote plant disease diagnosis, and water conservation efforts.
an analysis of the influential advantage of bio treatment over mechanical pro...INFOGAIN PUBLICATION
The economy of any nation is determined by the development of its industrial sectors. One of the most vibrant industries is leather industry. The process of it comprises of three stages among which tanning is the core action as it gives glow to the product. But, at the same time the material Chromium used for tanning indeed exploit the environment as it has toxic effects on all the organisms. The discharge of effluents contains Chromium (Cr) VI which is very hazardous; therefore the industries apply certain mechanical filtration process of converting Cr VI to Cr III which is comparatively less harmful than Cr VI. The execution of such mechanical processing is not practically feasible so industries have begun to drift towards bio treatment. In general, the literature of earlier works sketch out many merits of switching from mechanical to bio processing, but the most influencing merit has not yet clearly stated. Therefore this research work is an effort of determining it so as to stimulate it for mitigating the toxicity in a most comprehensive manner. In order to accomplish this task systematically, the mathematical tool, Fuzzy Cognitive Map is used in this paper.
This document summarizes a study comparing the life cycle assessment of traditional, semi-mechanized, and mechanized sugar beet production systems in Iran. The study developed a life cycle inventory from 93 sugar beet farms to analyze environmental impacts. It found that mechanized sugar beet farms had lower impacts across all categories than traditional and semi-mechanized farms. Irrigation, field emissions, and chemical fertilizer production contributed most to environmental impacts. Results showed environmental impacts in Iran were 2 to 40 times higher than in Switzerland. The study aims to provide a comprehensive inventory to enable life cycle assessments of sugar beet production and identify opportunities to improve environmental and economic sustainability.
Identification of optimum agricultural practicesSuraj Kumar
The document presents a major project on identifying optimal agricultural practices in Jharkhand state, India. It discusses the motivation to minimize losses and maximize yields. The proposed methodology includes collecting an agricultural database, identifying input/output features, and designing an artificial neural network model to analyze previous data and predict best combinations of crops, pesticides, soils and weather. A prototype frontend was created in MS Paint to be later implemented in Django-Python. Suggestions from prior evaluations such as adding new methodologies and designing the system prototype were addressed.
Intelligent Chemical Fertilizer Recommendation System for Rice Fields IIJSRJournal
In this paper, a recommendation system for supplementary chemical fertilizers of rice fields is proposed using data mining methods. Traditionally, an expert determines the necessary amount of chemical fertilizer for each field after testing the amount of existing organic materials in the soil. The recommendation provided by the expert is a combination of agricultural science and region-specific conditions. In this paper, thru recognizing the existing pattern in recommendations proposed by two groups of experts for the agricultural lands in Mazandaran Province in recent years, a predictive model is proposed. Different artificial intelligence techniques are compared with each other and the best one among them is introduced
Ocular pharmacokinetics studies the mechanisms of drug absorption, distribution, metabolism, and excretion in the eye. In vivo pharmacokinetic studies of drug delivery to the posterior eye segment can be performed in three ways: 1) administering drugs to rabbits and analyzing tissue, 2) using microdialysis probes in rabbits, or 3) administering fluorescent drugs to rats and analyzing under a microscope. Examples are provided of studies using fluorescent dyes and drugs administered via eye drops in various animal models, with outcomes like drug localization in ocular tissues.
This document provides a summary of new additions to the National Repository of Science & Technology Literature in Sri Lanka for October 2013. It lists over 20 new publications across various subject areas including agriculture, biochemistry, biological sciences, economics, engineering, environmental sciences, food science, geology, health and medical sciences, and physics. All items are available at the NSLRC and copies can be requested by contacting info@nsf.ac.lk.
Effect of Fungicide Treatment on Dielectric Properties of a Coarse-Cereal (In...IRJET Journal
This document summarizes a study on the effect of fungicide treatment on the dielectric properties of various Indian rice varieties. The study measured the dielectric constant and loss factor of rice samples with and without fungicide treatment, over a frequency range of 0.01 to 10 MHz and temperature range of 30-45°C. The results showed that fungicide treatment significantly changed the dielectric parameters and their variation with temperature compared to untreated samples. These changes need to be accounted for when precisely determining dielectric properties for applications in agriculture technology.
An Ensemble of Filters and Wrappers for Microarray Data Classification mlaij
The development of microarray technology has suppli
ed a large volume of data to many fields. The gene
microarray analysis and classification have demonst
rated an effective way for the effective diagnosis
of
diseases and cancers. In as much as the data achiev
ing from microarray technology is very noisy and al
so
has thousands of features, feature selection plays
an important role in removing irrelevant and redund
ant
features and also reducing computational complexity
. There are two important approaches for gene
selection in microarray data analysis, the filters
and the wrappers. To select a concise subset of inf
ormative
genes, we introduce a hybrid feature selection whic
h combines two approaches. The fact of the matter i
s
that candidate’s features are first selected from t
he original set via several effective filters. The
candidate
feature set is further refined by more accurate wra
ppers. Thus, we can take advantage of both the filt
ers
and wrappers. Experimental results based on 11 micr
oarray datasets show that our mechanism can be
effected with a smaller feature set. Moreover, thes
e feature subsets can be obtained in a reasonable t
ime
1) The study examined the effects of defoliation rate, nitrogen level, and vermicompost level on growth, phenology, and yield of maize.
2) Applying vermicompost decreased the time taken for leaves to appear and accelerated silking, while having no effect on tasseling time.
3) The highest leaf area index and dry matter production were obtained at a 40% defoliation rate when nitrogen and vermicompost were applied.
Environmental efficiency analysis of shallot farmingAlexander Decker
This document summarizes a study on the environmental efficiency of shallot farming in Nganjuk Regency, Indonesia. The study used a stochastic frontier translog regression approach to assess the influence of conventional inputs like seeds, organic fertilizer, and labor, as well as pesticide surplus, on shallot production. It found that conventional inputs significantly affected production. The study also analyzed technical efficiency, environmental efficiency, and factors influencing technical inefficiency. It found the average environmental efficiency was 0.5674 and technical efficiency was 0.6107, indicating shallot farming has not reached optimal efficiency levels. Access to farmer groups was found to significantly influence technical efficiency.
Alternative Control of Insect Pests Using Paper in Corn Plantsinventionjournals
Yellow paper and light traps captured the highest number of insect pests compared to red and green traps. The research studied alternative control of insect pests in corn plants using colored paper and light traps in Indonesia from July to August 2016. Yellow paper trapped the most insects at 23.25 on average, followed by green at 7.50 and red at 6.00. Similarly, yellow light trapped the most insects at 28.25 on average, followed by red at 19.25 and green at 9.50. The yellow traps captured significantly more insects than the red or green traps. The study identified several common insect pest species trapped in the various colored traps.
Indian Farmers Suffering from Toxic Pesticides Z3P
This document summarizes a study on the health impacts of pesticide use among farmers and farm workers in cash crop areas of Maharashtra, India. The study collected data through interviews and focus groups with 50 farmers and 50 farm workers in 4 villages, and reviewed pesticide poisoning cases from a local hospital. The results showed that many banned pesticides are still used locally due to lack of education. Out of 50 reported poisoning cases, 23 were accidental and 4 farm workers died from pesticide exposure. The study suggests current practices put farmers and farm workers at high risk and that policies are needed to promote safer pesticide handling.
P3 Packing Preclusion for Hexagonal Mesh Pyramidijcoa
Let G be a graph having P3 packing. A P3 packing preclusion number of the graph G is a set of minimum number of edges, whose deletion leaves the resulting graph without a P3 packing. A hexagonal mesh pyramid of n levels denoted as HXPn consists of a set of vertices arranged in n levels of a hexagonal mesh. A vertex with address (k,(x,y,z)) placed at level k, of HXnnetwork is connected to all its adjacent vertices. This vertex is also connected to all the vertices of the hexagon with center (k+1,(x,y,z)). In this paper we find out the P3 packing preclusion of HXPnis trivial.
On Strong Metric Dimension of Diametrically Vertex Uniform Graphsijcoa
A pair of vertices u, v is said to be strongly resolved by a vertex s, if there exist at least one shortest path from s to u passing through v, or a shortest path from s to v passing through u. A set W⊆V, is said to be a strong metric generator if for all pairs u, v ∈/ W, there exist some element s ∈ W such that s strongly resolves the pair u, v. The smallest cardinality of a strong metric generator for G is called the strong metric dimension of G. The strong metric dimension (metric dimension) problem is to find a minimum strong metric basis (metric basis) in the graph. In this paper, we solve the strong metric dimension and the metric dimension problems for the circulant graph C (n, ±{1, 2 . . . j}), 1 ≤ j ≤ ⌊n/2⌋, n ≥ 3 and for the hypercubes. We give a lower bound for the problem in case of diametrically uniform graphs. The class of diametrically uniform graphs includes vertex transitive graphs and hence Cayley graphs.
1. Transcription involves listening to audio recordings and converting speech to written text. It is important for fields like medicine, law, and research where a written record is needed.
2. Producing accurate transcripts takes skills like good listening, spelling, grammar, vocabulary, and knowledge of the topic discussed. The time it takes depends on factors like speaking speed and audio quality.
3. Medical transcriptionists need additional skills like understanding medical terminology, human anatomy, and disease processes to produce accurate medical records. Proficiency in English and typing speed are also important.
Tabel nilai siswa yang berisi nama, mata pelajaran IPA, IPS dan matematika. Kemudian tabel nilai siswa lain yang berisi nama, nilai rata-rata, mata pelajaran dan jumlah siswa. Terakhir, lembar kerja nilai 8 siswa untuk 4 mata pelajaran dan grafiknya.
Resultados 3T15 Banco Santander obtuvo un beneficio ordinario de 5.106 millon...BANCO SANTANDER
El Banco Santander obtuvo un beneficio ordinario de 5.106 millones de euros en los primeros nueve meses de 2015, un aumento del 17% con respecto al mismo período del año anterior. El banco continuó aumentando su cartera de créditos y depósitos, que crecieron un 7% cada uno. Los principales mercados como Reino Unido, Brasil y España contribuyeron significativamente al crecimiento del beneficio.
El documento describe los conceptos básicos, métodos y técnicas de la investigación de mercados. Explica que la investigación de mercados consiste en el diseño, recopilación, análisis y reporte de información relevante del mercado para una situación específica que enfrenta la empresa. Además, detalla que el proceso de investigación de mercados consta de 6 pasos y que los investigadores pueden elegir entre cuestionarios, mediciones cualitativas e instrumentos mecánicos. Finalmente, señala 7 características que debe cumpl
Gender roles are defined by societal norms that associate masculinity with strength and femininity with passivity. Gender socialization begins at birth through family, education, peers, and media. Women suffer from depression twice as often as men and female adolescents have more negative body images. Men are three times more likely to be diagnosed with antisocial personality disorder.
SPSS: An Effective Tool to Compute Learning Outcomes in Acadamicsijcoa
OBJECTIVES: To determine how SPSS can be a useful tool to evaluate Course Learning Outcomes and analyze student's performance with the help of KS test, histogram and skewness of the tool. It is also contributing to facilitate Deep learning amongst students with the help of achievement of normal distribution of grades. METHODS: Comparative analysis is done using course specification, syllabus, assessment method(Final Exam Question paper is taken as tool) and result statistics for the course of STATISTICAL PROGRAMMING (217 CSM), 3rd year (level 5 course) that is part of BCS curriculum in department of Computer Science, College of computer Science in King Khalid University. Teaching strategies are compared for two years. i.e; 2013 and 2014. Moreover the research inferences the relevance of application of NCAAA standards in meeting Learning outcomes of any module for department of Computer Science, CCS, KKU. RESULTS: Comparison of question papers depict that now students are motivated to have deep learning in terms of understanding, solving, reasoning based questions as contrast to shallow learning (memorized questions) in the past. It is indeed improving Learning domains too (Knowledge, Cognitive, Interpersonal and Communication skills) more effectively than in the past. Also grade distribution is Normal with well-defined curve for 2014 as compared to 2013 having variation in Standard deviation too. Teacher centered learning lead to surface learning. After NCAA standards implementation, there is more focus on learned centered teaching. Design of learning assessments is in such a way that it should meet learning outcomes successfully. CONCLUSIONS: The research is contributing in flourishing the personality of the students to produce qualified graduates with excellence in communication, logically and technically capable enough to share their knowledge nationally and internationally with much more confidence at any platform. Also it is opening door for researchers to evaluate their performance with the help of SPSS in academics or anywhere where we want to gather.
BugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approachijcoa
Detection of software bugs and its occurrences, repudiation and its root cause is a very difficult process in large multi threaded applications. It is a must for a software developer or software organization to identify bugs in their applications and to remove or overcome them. The application should be protected from malfunctioning. Many of the compilers and Integrated Development Environments are effectively identifying errors and bugs in applications while running or compiling, but they fail in detecting actual cause for the bugs in the running applications. The developer has to reframe or recreate the package with the new one without bugs. It is time consuming and effort is wasted in Software Development Life Cycle. There is a possibility to use graph mining techniques in detecting software bugs. But there are many problems in using graph mining techniques. Managing large graph data, processing nodes with links and processing subgraphs are the problems to be faced in graph mining approach. This paper presents a novel algorithm named BugLoc which is capable of detecting bugs from the multi threaded software application. The BugLoc uses object template to store graph data which reduces graph management complexities. It also uses substring analysis method in detecting frequent subgraphs. The BugLoc then analyses frequent subgraphs to detect exact location of the software bugs. The experimental results show that the algorithm is very efficient, accurate and scalable for large graph dataset.
The detection of moving object is an important in many applications such as a vehicle identification in a traffic monitoring system,human detection in a crime branch.In this paper we identify a vehicle in a video sequence.This paper briefly explain the detection of moving vehicle in a video.We introduce a new algorithm BGS for idntifying vehicle in a video sequence. First, we differentiate the foreground from background in frames by learning the background. Then, the image is divided into many small nonoverlapped frames. The candidates of the vehicle part can be found from the frames if there is some change in gray level between the current image and the background. The extracted background subtraction method is used in subsequent analysis to detect a vehicle and classify moving vehicle.
Analysis of Women Harassment in Villages Using CETD Matrix Modalijcoa
It is commonly understood that misbehavior intends to upset .Law says , the repeated intentional misbehavior towards women is an offensive. The main concept of this paper can find something interesting that will make us reflect on what is done by women’s rights and gender equality. To solve such problem, in this paper we are interested to adopt CETD matrix.
Solving Assignment Problem Using L-R Fuzzy Numbersijcoa
In this paper we determine a new method to solving assignment problem using L-R fuzzy parameters. This method requires finding out the minimal cost reach optimality compared to the existing methods available in the literature. Numerical examples show that the fuzzy assignment ranking method offers an effective way for handling the fuzzy assignment problem.
Fuzzy Chroamtic Number of Line Graph using α-Cutsijcoa
In this paper, we introduce chromatic number of line graph using α-cuts. The concept of chromatic number of fuzzy graphs was introduced by Munoz et.al, later Eslahchi and onagh. They are defined by the fuzzy chromatic number of complete graphs (kn), cycle graph (cn), star graph (sn), wheel graph (wn), and line graph are found and results are summarized.
Effect of Fungicide Treatment on Dielectric Properties of a Coarse-Cereal (In...IRJET Journal
This document summarizes a study on the effect of fungicide treatment on the dielectric properties of various Indian rice varieties. The study measured the dielectric constant and loss factor of rice samples with and without fungicide treatment, over a frequency range of 0.01 to 10 MHz and temperature range of 30-45°C. The results showed that fungicide treatment significantly changed the dielectric parameters and their variation with temperature compared to untreated samples. These changes need to be accounted for when precisely determining dielectric properties for applications in agriculture technology.
An Ensemble of Filters and Wrappers for Microarray Data Classification mlaij
The development of microarray technology has suppli
ed a large volume of data to many fields. The gene
microarray analysis and classification have demonst
rated an effective way for the effective diagnosis
of
diseases and cancers. In as much as the data achiev
ing from microarray technology is very noisy and al
so
has thousands of features, feature selection plays
an important role in removing irrelevant and redund
ant
features and also reducing computational complexity
. There are two important approaches for gene
selection in microarray data analysis, the filters
and the wrappers. To select a concise subset of inf
ormative
genes, we introduce a hybrid feature selection whic
h combines two approaches. The fact of the matter i
s
that candidate’s features are first selected from t
he original set via several effective filters. The
candidate
feature set is further refined by more accurate wra
ppers. Thus, we can take advantage of both the filt
ers
and wrappers. Experimental results based on 11 micr
oarray datasets show that our mechanism can be
effected with a smaller feature set. Moreover, thes
e feature subsets can be obtained in a reasonable t
ime
1) The study examined the effects of defoliation rate, nitrogen level, and vermicompost level on growth, phenology, and yield of maize.
2) Applying vermicompost decreased the time taken for leaves to appear and accelerated silking, while having no effect on tasseling time.
3) The highest leaf area index and dry matter production were obtained at a 40% defoliation rate when nitrogen and vermicompost were applied.
Environmental efficiency analysis of shallot farmingAlexander Decker
This document summarizes a study on the environmental efficiency of shallot farming in Nganjuk Regency, Indonesia. The study used a stochastic frontier translog regression approach to assess the influence of conventional inputs like seeds, organic fertilizer, and labor, as well as pesticide surplus, on shallot production. It found that conventional inputs significantly affected production. The study also analyzed technical efficiency, environmental efficiency, and factors influencing technical inefficiency. It found the average environmental efficiency was 0.5674 and technical efficiency was 0.6107, indicating shallot farming has not reached optimal efficiency levels. Access to farmer groups was found to significantly influence technical efficiency.
Alternative Control of Insect Pests Using Paper in Corn Plantsinventionjournals
Yellow paper and light traps captured the highest number of insect pests compared to red and green traps. The research studied alternative control of insect pests in corn plants using colored paper and light traps in Indonesia from July to August 2016. Yellow paper trapped the most insects at 23.25 on average, followed by green at 7.50 and red at 6.00. Similarly, yellow light trapped the most insects at 28.25 on average, followed by red at 19.25 and green at 9.50. The yellow traps captured significantly more insects than the red or green traps. The study identified several common insect pest species trapped in the various colored traps.
Indian Farmers Suffering from Toxic Pesticides Z3P
This document summarizes a study on the health impacts of pesticide use among farmers and farm workers in cash crop areas of Maharashtra, India. The study collected data through interviews and focus groups with 50 farmers and 50 farm workers in 4 villages, and reviewed pesticide poisoning cases from a local hospital. The results showed that many banned pesticides are still used locally due to lack of education. Out of 50 reported poisoning cases, 23 were accidental and 4 farm workers died from pesticide exposure. The study suggests current practices put farmers and farm workers at high risk and that policies are needed to promote safer pesticide handling.
P3 Packing Preclusion for Hexagonal Mesh Pyramidijcoa
Let G be a graph having P3 packing. A P3 packing preclusion number of the graph G is a set of minimum number of edges, whose deletion leaves the resulting graph without a P3 packing. A hexagonal mesh pyramid of n levels denoted as HXPn consists of a set of vertices arranged in n levels of a hexagonal mesh. A vertex with address (k,(x,y,z)) placed at level k, of HXnnetwork is connected to all its adjacent vertices. This vertex is also connected to all the vertices of the hexagon with center (k+1,(x,y,z)). In this paper we find out the P3 packing preclusion of HXPnis trivial.
On Strong Metric Dimension of Diametrically Vertex Uniform Graphsijcoa
A pair of vertices u, v is said to be strongly resolved by a vertex s, if there exist at least one shortest path from s to u passing through v, or a shortest path from s to v passing through u. A set W⊆V, is said to be a strong metric generator if for all pairs u, v ∈/ W, there exist some element s ∈ W such that s strongly resolves the pair u, v. The smallest cardinality of a strong metric generator for G is called the strong metric dimension of G. The strong metric dimension (metric dimension) problem is to find a minimum strong metric basis (metric basis) in the graph. In this paper, we solve the strong metric dimension and the metric dimension problems for the circulant graph C (n, ±{1, 2 . . . j}), 1 ≤ j ≤ ⌊n/2⌋, n ≥ 3 and for the hypercubes. We give a lower bound for the problem in case of diametrically uniform graphs. The class of diametrically uniform graphs includes vertex transitive graphs and hence Cayley graphs.
1. Transcription involves listening to audio recordings and converting speech to written text. It is important for fields like medicine, law, and research where a written record is needed.
2. Producing accurate transcripts takes skills like good listening, spelling, grammar, vocabulary, and knowledge of the topic discussed. The time it takes depends on factors like speaking speed and audio quality.
3. Medical transcriptionists need additional skills like understanding medical terminology, human anatomy, and disease processes to produce accurate medical records. Proficiency in English and typing speed are also important.
Tabel nilai siswa yang berisi nama, mata pelajaran IPA, IPS dan matematika. Kemudian tabel nilai siswa lain yang berisi nama, nilai rata-rata, mata pelajaran dan jumlah siswa. Terakhir, lembar kerja nilai 8 siswa untuk 4 mata pelajaran dan grafiknya.
Resultados 3T15 Banco Santander obtuvo un beneficio ordinario de 5.106 millon...BANCO SANTANDER
El Banco Santander obtuvo un beneficio ordinario de 5.106 millones de euros en los primeros nueve meses de 2015, un aumento del 17% con respecto al mismo período del año anterior. El banco continuó aumentando su cartera de créditos y depósitos, que crecieron un 7% cada uno. Los principales mercados como Reino Unido, Brasil y España contribuyeron significativamente al crecimiento del beneficio.
El documento describe los conceptos básicos, métodos y técnicas de la investigación de mercados. Explica que la investigación de mercados consiste en el diseño, recopilación, análisis y reporte de información relevante del mercado para una situación específica que enfrenta la empresa. Además, detalla que el proceso de investigación de mercados consta de 6 pasos y que los investigadores pueden elegir entre cuestionarios, mediciones cualitativas e instrumentos mecánicos. Finalmente, señala 7 características que debe cumpl
Gender roles are defined by societal norms that associate masculinity with strength and femininity with passivity. Gender socialization begins at birth through family, education, peers, and media. Women suffer from depression twice as often as men and female adolescents have more negative body images. Men are three times more likely to be diagnosed with antisocial personality disorder.
SPSS: An Effective Tool to Compute Learning Outcomes in Acadamicsijcoa
OBJECTIVES: To determine how SPSS can be a useful tool to evaluate Course Learning Outcomes and analyze student's performance with the help of KS test, histogram and skewness of the tool. It is also contributing to facilitate Deep learning amongst students with the help of achievement of normal distribution of grades. METHODS: Comparative analysis is done using course specification, syllabus, assessment method(Final Exam Question paper is taken as tool) and result statistics for the course of STATISTICAL PROGRAMMING (217 CSM), 3rd year (level 5 course) that is part of BCS curriculum in department of Computer Science, College of computer Science in King Khalid University. Teaching strategies are compared for two years. i.e; 2013 and 2014. Moreover the research inferences the relevance of application of NCAAA standards in meeting Learning outcomes of any module for department of Computer Science, CCS, KKU. RESULTS: Comparison of question papers depict that now students are motivated to have deep learning in terms of understanding, solving, reasoning based questions as contrast to shallow learning (memorized questions) in the past. It is indeed improving Learning domains too (Knowledge, Cognitive, Interpersonal and Communication skills) more effectively than in the past. Also grade distribution is Normal with well-defined curve for 2014 as compared to 2013 having variation in Standard deviation too. Teacher centered learning lead to surface learning. After NCAA standards implementation, there is more focus on learned centered teaching. Design of learning assessments is in such a way that it should meet learning outcomes successfully. CONCLUSIONS: The research is contributing in flourishing the personality of the students to produce qualified graduates with excellence in communication, logically and technically capable enough to share their knowledge nationally and internationally with much more confidence at any platform. Also it is opening door for researchers to evaluate their performance with the help of SPSS in academics or anywhere where we want to gather.
BugLoc: Bug Localization in Multi Threaded Application via Graph Mining Approachijcoa
Detection of software bugs and its occurrences, repudiation and its root cause is a very difficult process in large multi threaded applications. It is a must for a software developer or software organization to identify bugs in their applications and to remove or overcome them. The application should be protected from malfunctioning. Many of the compilers and Integrated Development Environments are effectively identifying errors and bugs in applications while running or compiling, but they fail in detecting actual cause for the bugs in the running applications. The developer has to reframe or recreate the package with the new one without bugs. It is time consuming and effort is wasted in Software Development Life Cycle. There is a possibility to use graph mining techniques in detecting software bugs. But there are many problems in using graph mining techniques. Managing large graph data, processing nodes with links and processing subgraphs are the problems to be faced in graph mining approach. This paper presents a novel algorithm named BugLoc which is capable of detecting bugs from the multi threaded software application. The BugLoc uses object template to store graph data which reduces graph management complexities. It also uses substring analysis method in detecting frequent subgraphs. The BugLoc then analyses frequent subgraphs to detect exact location of the software bugs. The experimental results show that the algorithm is very efficient, accurate and scalable for large graph dataset.
The detection of moving object is an important in many applications such as a vehicle identification in a traffic monitoring system,human detection in a crime branch.In this paper we identify a vehicle in a video sequence.This paper briefly explain the detection of moving vehicle in a video.We introduce a new algorithm BGS for idntifying vehicle in a video sequence. First, we differentiate the foreground from background in frames by learning the background. Then, the image is divided into many small nonoverlapped frames. The candidates of the vehicle part can be found from the frames if there is some change in gray level between the current image and the background. The extracted background subtraction method is used in subsequent analysis to detect a vehicle and classify moving vehicle.
Analysis of Women Harassment in Villages Using CETD Matrix Modalijcoa
It is commonly understood that misbehavior intends to upset .Law says , the repeated intentional misbehavior towards women is an offensive. The main concept of this paper can find something interesting that will make us reflect on what is done by women’s rights and gender equality. To solve such problem, in this paper we are interested to adopt CETD matrix.
Solving Assignment Problem Using L-R Fuzzy Numbersijcoa
In this paper we determine a new method to solving assignment problem using L-R fuzzy parameters. This method requires finding out the minimal cost reach optimality compared to the existing methods available in the literature. Numerical examples show that the fuzzy assignment ranking method offers an effective way for handling the fuzzy assignment problem.
Fuzzy Chroamtic Number of Line Graph using α-Cutsijcoa
In this paper, we introduce chromatic number of line graph using α-cuts. The concept of chromatic number of fuzzy graphs was introduced by Munoz et.al, later Eslahchi and onagh. They are defined by the fuzzy chromatic number of complete graphs (kn), cycle graph (cn), star graph (sn), wheel graph (wn), and line graph are found and results are summarized.
A Study on the Exposures of Rag- Pickers Using Induced Neutrosophic Cognitive...ijcoa
In this paper, using a new Fuzzy bimodal called Induced Neutrosophic Cognitive Relational Maps (INCRM) we analyse the Socio-Economic problem faced by Rag-Pickers. Based on the study, conclusions and some remedial measures are stated.
Dual Trapezoidal Fuzzy Number and its Applicationsijcoa
In this Paper, we introduce Convergence of α-Cut. We define at Which point the α-Cut converges to the fuzzy numbers and it will be illustrated by example using dual trapezoidal fuzzy number and some mensuration problems are illustrated with approximated values.
Developing and Porting multi-grid solver for CFD application on Intel-MIC pla...ijcoa
This paper presents an implementation of one dimensional Burgers equation using implicit method with Intel Xeon Phi Coprocessor. In particular, we used MAGMA MIC library which is an open source high performance library for solving a systems of non-linear equations. Further for high performance computation we consider offload mode as the primary mode of operation for Intel Xeon phi coprocessor. The result obtained from implicit scheme is then compared with the exact values and it’s seen that the results obtained are approximate and reliable. The result table showed that the proposed scheme achieved higher performance on Intel MIC platform.
Adin and Roichman [1] introduced the concept of permutation graphs and Peter Keevash, Po-Shen Loh and Benny Sudakov [2] identified some permutation graphs with maximum number of edges. Ryuhei Uehara, Gabriel Valiente, discussed on Linear structure of Bipartite Permutation Graphs and the Longest Path Problem [3]. If i, j belongs to a permutation on p symbols {1, 2, …, p} and i is less than j then there is an edge between i and j in the permutation graph if i appears after j in the sequence of permutation. So the line of i crosses the line of j in the permutation. Hence there is a one to one correspondence between crossing of lines in the permutation and the edges of the corresponding permutation graph. In this paper we found the conditions for a permutation to realize a double star and comprehend the algorithm to determine the satuation index of the permutation. AMS Subject Classification (2010): 05C35, 05C69, 20B30.
Classification and Prediction of Heart Disease from Diabetes Patients using H...ijcoa
The multi-factorial chronicle, severe disease among human is diabetes. As a result of abnormal level of glucose in body leads to heart attack, kidney disease, renal failure, Hyperglycemia and also cancer in organs like liver and pancreas. Many studies have been proved that several types of heart diseases are possible in diabetic patients having a high blood sugar. Many approaches were proposed to diagnose both Diabetes and heart diseases. Most of the diabetes people can also have heart diseases called as Diabetic Cardiomyopathy. The earliest manifestation of diabetic cardiomyopathy is needed certain processes. The objective of the study is to examine the association of heart disease and diabetes. The relationship between diabetes and cardiovascular diseases are examined by taking into account of age, sex and associated diabetic and cardiovascular risk factors. The data are collected from patients with diabetes. From these data, features are selected by ant colony optimization and those selected features are given to hybrid PSO-LIBSVM to classify abnormal and normal data. This performance is evaluated using performance metrics and proved this classifiers efficiency for detection of Diabetic Cardiomyopathy.
Format Preserving Encryption for Small Domainijcoa
Cryptography is important in communicating secured information that is vulnerable to distortion. The main goal of this paper is encrypting the small arbitrary length data without any changes in the length and data type. We propose a flexible arbitrary length small domain block cipher (FPESD). FPESD is based on AES Algorithm. The resulting cipher text is the same as input plaintext. Here, we use Galois finite field GF (28) and format preserving key to implement FPE. For decryption format preserving key is used along with cipher text and secret key.
Intuitionistic Double Layered Fuzzy Graph and its Cartesian Product Vertex De...ijcoa
The intuitionistic double layered fuzzy graph gives a 3-D structural view to a fuzzy graph. To find the cartesian product of two intuitionistic double layered fuzzy graphsis a challenging one. In this paper under some condition,a simple method to find the vertex degree of cartesian product of two IDLFG without the cartesianproduct structure is given.
Clustering and Classification in Support of Climatology to mine Weather Data ...ijcoa
Knowledge of climate data of region is essential for business, society, agriculture, pollution and energy applications. Climate is not fixed, the fluctuation in the climate can be seen from year to year.The data mining application help meteorological scientists to predictaccurate weather forecast and decisions and also provide more performance and reliability than any other methods. The data mining techniques applied on weather data are efficient when compare to the mathematical models used. Various techniques of data mining are applied on climate data to support weather forecasting, climate scientists, agriculture, vegetation, water resources and tourism. The aim of this paper is to provide a review report on various data mining techniques applied on weather data set in support of weather prediction and climate analysis.
Test Suite Reduction Based on Fault Detection with Cost Optimizationijcoa
Test Suite Reduction is an optimization technique to identify the minimally sized subset of test cases with enforced constraints involved. The main purpose of test suite reduction is to deduce increased number of test cases that in turn increase the time and cost involved in execution. Fault Detection is the method of identifying the faults that affect the outcome of the system either logically or syntactically. This paper focuses on the reduction of the test suite that has high fault identification rates and also incurs low cost of execution of test cases. The proposed approach includes a new parameter Fault Detection Effectiveness to identify fault rates of test suite; an algorithm for test suite reduction based on priority of requirements; a low cost framework to identify the execution of test cases with minimum budget. Thus, the proposed work defines a test suite that has high fault detection effectiveness providing maximum coverage to requirements at minimum cost of execution.
As the e-commerce is gaining popularity various customer surveys of objects are currently accessible on the Internet. These surveys are frequently disordered, prompting challenges in knowledge discovery and object assessment. This article proposes an object feature positioning skeleton, which consequently recognizes the critical features of an object from online customer surveys. The critical object features are recognized focused around two perceptions: 1) they are normally commented extensively by customers and 2) customer suppositions on the critical feature significantly impact their general assessments on the object. Specifically, given the customer surveys of an item, we first extract the object feature by a shallow reliance parser and focus customer suppositions on these features through an opinion characterizer. We then create a probabilistic object feature positioning calculation to identify the criticalness of perspectives by at the same time considering feature recurrence and the impact of customer opinion given to every feature over their general opinion. The experimental results on 3 popular products demonstrate the effectiveness of our approach.
Effectual Data Integrity Checking Technique Based on Number Theoryijcoa
Cloud Computing makes data really mobile and a client can simply access a chosen cloud with any internet accessible device. The espousal and dispersion of Cloud computing are threatened by unresolved security issues that affect both the cloud provider and the cloud user. The integrity of data stored in the cloud is one of the challenges to be addressed before the novel storage model is applied widely. This paper analyses the efficiency issues and security dodge of an existing scheme and proposes an amended data integrity scheme using improved RSA and number theory based concept for cloud archive. This scheme of protecting the integrity of guest virtual machines can be agreed upon by both the cloud and the customer and can be incorporated in the service level agreement (SLA).Based onhypothetical analysis, we demonstrate that the proposedscheme has a provably safe and highly adroit dataintegrity inspection measure.
Micro-Neuro-Sensor Recording of STN Neurons of the Human Brainijcoa
What cause to the neurons of the human brain cells when they are damaged. They become inactive. So damage to subthalamiuc nucleus (STN) neurons of the human brain causing larger involuntary movements and thereby attacking the Parkinson’s disease (PD). Deep brain stimulation (DBS) of bilateral sub thalamic nuclei (STN) is an efficient method of rehabilitation technique in subjects with advanced idiopathic Parkinson’s (or Parkinson) disease. Accurate targeting of STN neurons and placement of microelectrodes/ (neurosensors) are paramount importance for optimal results after STN-DBS method.In this paper, microminiaturized electrode recordings (MER) of STN neurons were detected in a mean of 3.5 ±1.1 channels on right hemisphere and 3.6 ±1.04 on left hemisphere.Final channel selected were most commonly central seen in 42.3% followed by anterior in 33.7%. When a high current is delivered to STN or GPi neurons of basal ganglia (a component of human brain), causing their inhibition and improved indication of symptoms. It is now known that there is a significant change in the firing pattern and a reorganization of the entire basal ganglia circuit with DBS. The MER of STN neurons has identified a specific high frequency irregular larger amplitude firing patterns seen only in disease states and hence used to detect the neurons of ST nucleus during functional surgery. Microelectrode recording is so useful to confirm the right path but has to be taken in consideration with effects on macro stimulation.
EDM: Finding Answers to Reduce Dropout Rates in Schoolsijcoa
The focus of this paper is to get a bird's eye view of the various factors that could be analyzed to present schools and governments timely indicators of school dropouts. With the help of EDM, one could have access to enormous amounts of data. The crux of the matter would be to identify the data in line with plans and ideas that would eventually lead to the formulation of policies that enhance the teaching and learning process.
Analysis of Effort Estimation Model in Traditional and Agile (USING METRICS ...ijcoa
Agile software development has been gaining popularity and replacing the traditional methods of developing software. However, estimating the size and effort in Agile software development still remains a challenge. Measurement practices in agile methods are more important than traditional methods, because lack of appropriate an effective measurement practices will increase the risk of project. This paper discuss about traditional and agile effort estimation model, and analysis done on how the metrics are used in estimation process. The paper also suggeststo use object point and use case point to improve accuracy of effort in agile software development.
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
The debris of the ‘last major merger’ is dynamically youngSérgio Sacani
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...AbdullaAlAsif1
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
On the Health Hazards of the Sugarcane Using IFRM Model
1. International Journal of Computing Algorithm, Vol 3(2), June 2014
ISSN(Print):2278-2397
Website: www.ijcoa.com
On the Health Hazards of the Sugarcane Using
IFRM Model
T.Pathinathan1
, S.Johnson savarimuthu2
1
Department of Mathematics, Loyola College, Chennai-34, India
2
Department of Mathematics, St. Joseph’s College, Cuddalore, India
E-mail: jonarockiaraj@gmail.com
Abstract
In this paper, we use Induced Fuzzy Relational Mappings (IFRM) to analyze the problem of
health hazards faced by the sugarcane cultivators due to chemical pollution. Based on our
study, we made conclusions and suggest some remedial measures.