64 research outputs found
Analyzing the Performance of ECLAT Algorithm for Large Datasets by Comparing K-means and Gaussian Mixture Model
No full textFrequent Itemset Mining (FIM) is a technique that transforms historical data into useful information by identifying beneficial patterns. The ECLAT method uses depth-first search to intersect the transaction ID sets with the corresponding kth item sets in order to calculate the support items. While searching for the best-selling products, ECLAT uses a lot of memory and processing time due to the enormous number of transaction ID sets. To overcome these problems, the clustering method combines with the ECLAT algorithm to retrieve the support items. Description elements 100,000 to 400,000 were used to retrieve the support items of the most popular selling goods. For the K-means clustering approach, the optimal value of k is 8 clusters according to the 0.59 silhouette value. For the Gaussian Mixture Model, the ideal value of k is 14 clusters based on a 0.59 silhouette score value between 100,000 and 400,000 data items. After clustering the same product items, the ECLAT algorithm retrieves the support items by applying a minimum support value of 0.00001 in this investigation. According to the experimental results, the Gaussian Mixture Model not only offers more flexibility for clustering the same items but also reduces the memory usage and execution times. The outcomes of this investigation indicate that the Gaussian Mixture Model provides more efficient enhancement of the performance of the ECLAT algorithm than the K-means algorithm
Traumatic mating as the basis for an evolutionary arms race
No full textTraumatic mating (TM) is one of the more extreme forms of sexual conflict, in which individuals wound their mating partners by piercing their copulation tract or body cavity during mating (Tatarnic et al. 2014). Three types of TM have been categorized depending on the presence and type of secretion the males transferred: traumatic insemination (TI) with sperm transfer, traumatic penetration (TP) without transfer of sperm or bodily secretions, and traumatic secretion transfer (TST) with transfer of bodily secretions but without sperm (Lange et al. 2013a). By comparing TM across invertebrate taxa, I argue for the existence of a sexual arms race only in the presence of female resistance where both sexes continuously develop biological structures to overcome the struggle for reproductive control
Parental Attachment on Adolescent Perception of the School Environment and School Connectedness of High School Students
No full textThe purpose of this study was to investigate parental attachment on adolescent perception of school environment and school connectedness. Sample 811 Grade 9 students from seven selected high schools participated in this study. Parental Attachment Questionnaire, Psychological Sense of School Membership Scale, and Classroom Environment Scale were used. In this study there were significant differences in parental attachment by gender, schools and region. Female students had better attachment and closer relationship with their parents than male students. Students from Yangon Region received more attachment, guidance and mutually supportive relationships from their parents than that of students from Ayeyarwady Region. It was found that father's occupation, mothers' occupation and schools affected on perception of adolescents. And school connectedness was significantly positively correlated with parental attachment. Then, school attachment was significantly correlated with perception of classroom environment. Next, perception of classroom environment was significantly positively correlated with parental attachment. Multiple regression analyses revealed that the strongest predictors for adolescent perception of school connectedness were classroom environment and parental attachment. There may be more benefits in conducting a longitudinal study using both qualitative and quantitative research methods
Enhanced DNA Encoding Scheme in Honey Encryption
No full textNowadays, Security plays a vital role in protecting sensitive data from attackers in many organizations. Many researchers have developed security research to prevent attacks. Password-based encryption (PBE) is used to prevent an attacker from attempting to break into the password file. However, the current PBE is vulnerable because attackers can easily access keys by attempting again and again. The use of weak passwords in PBE is an ongoing problem. At present, Honey Encryption (HE) is an encryption method that overcomes (PBE) vulnerabilities. It is resistant to brute force attacks and allows encryption of data using minimal keys. HE generates a plausible message that looks real when the attacker decrypts with an incorrect key. Deoxyribo Nucleic Acid (DNA) is a new way of computing used in medical research. In this paper, DNA sequences are generated as the key distribution of Honey Encryption. The main idea of the paper is five random data lookup tables in the DNA encoding scheme in order to be more secure. It will be shown as the experimental results the same message encryption with the different passwords and the encryption of the different messages with the same password. In this system, diagnosis symptoms such as Influenza, Toothpaste, etc., will be used as the input messages of the DNA scheme. Compared to the results of only one data lookup table, it can be seen that the result of five data lookup tables in the key generation of DNA encoding sequence is more secure and less execution time. According to the experimental results, the proposed method is more secure than the existing method
Water quality assessment of Ayeyarwady River in Myanmar
No full textWater ManagementCivil Engineering and Geoscience
A low-cost water quality monitoring system for the Ayeyarwady River in Myanmar using a participatory approach
No full textNewly developed mobile phone applications in combination with citizen science are used in different fields of research, such as public health monitoring, environmental monitoring, precipitation monitoring, noise pollution measurement and mapping, earth observation. In this paper, we present a low-cost water quality mobile phone measurement technique combined with sensor and test strips, and reported the weekly-collected data of three years of the Ayeyarwady River system by volunteers at seven locations and compared these results with the measurements collected by the lab technicians. We assessed the quality of the collected data and their reliability based on several indicators, such as data accuracy, consistency, and completeness. In this study, six local governmental staffs and one middle school teacher collected baseline water quality data with high temporal and spatial resolution. The quality of the data collected by volunteers was comparable to the data of the experienced lab technicians for sensor-based measurement of electrical conductivity and transparency. However, the lower accuracy (higher uncertainty range) of the indicator strips made them less useful in the Ayeyarwady with its relatively small water quality variations. We showed that participatory water quality monitoring in Myanmar can be a serious alternative for a more classical water sampling and lab analysis-based monitoring network, particularly as it results in much higher spatial and temporal resolution of water quality information against the very modest investment and running costs. This approach can help solving the invisible water crisis of unknown water quality (changes) in river and lake systems all over the world.Water Resource
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