Volume 10 | Issue 10 |

 Abstract

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An automatic solver for very large jigsaw puzzles using genetic algorithms

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Quality control, Daptomycin, Recovery, Wavelength.

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Creative Commons Attribution 4.0 and The Open Definition

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The diversity patterns and occurrence of benthic macro invertebrate families encountered in river Manimala which originates from the Muthavara hills near Peermade in Idukki district of the Kerala state was an approach conceded based on the knowledge of benthic macro invertebrates. The primary objective of this study was to identify the fresh water benthic macro invertebrates and to find out the biological water quality using BWQC developed by Central Pollution Control Board (New Delhi). The study also emphasizes the anthropogenic influences especially of pollution-sensitive organisms belonging to the order Ephemeroptera, Plecoptera and Tricoptera. A total of 163 individuals of aquatic insects belonging to 51 genera, 43 families were collected from the five stations of the River Manimala during pre monsoon and monsoon period. The highest species richness and abundance was observed in Elamkaadu top (Station 1) followed by Andayaar (Station 2) during monsoon and premonsoon respectively. The most dominant taxa found in this river were Cheumatopsyche. The rivers in Kerala is undergoing serious anthropogenic effects, the need to conserve the pollution sensitive organisms bears prime significance. Temporal/biological factors could have conceivably diminished the density of benthic communities, however the ever increasing population load, wetland filling, sand mining, encroachment of river banks have adversely affected the diversity of life forms.

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River Manimala, Benthic macro invertebrates, Saprobic and diversity score, Sand mining, Wetland filling, Encroachment, BWQC.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Data mining, clustering, DBSCAN, VDBSCAN, quick select based method.

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Creative Commons Attribution 4.0 and The Open Definition

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Cryptocurrency is a digital currency wherein the coin ownership records are stored in a ledger existing in a form of a computerized database using strong cryptography to secure transaction records and control the creation of additional coins and verify the transfer of coin ownership. Nowadays cryptocurrencies are used on large scale and there is a sudden rise and or decrease in their share and it is difficult to predict the price of the cryptocurrency. In this project, a machine learning model is built to predict the price of the cryptocurrency. The application of data science process is applied for getting a better model for predicting the outcome. Variable identification and data understanding is the main process of building a successful model. Different machine learning algorithms are applied to the pre-processed data and the accuracy is compared to see which algorithm performed better other performance metrics like precision, recall, and score are also taken into consideration for evaluating the model. The Machine learning model is used to predict the cryptocurrency outcome.

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Cryptocurrency, Random Forest Algorithm, Decision Tree, LASSO Algorithm, Regression Tree Algorithm, Data Science, Machine Learning.

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Abstract: Chief-Minister Start-Up Scheme (CMSS) of Sikkim was started in the year 2017. The aims of the scheme are to give an emphasis is on giving employment opportunity as well as to enhance the entrepreneurial skill among the dropouts and the educated unemployed youth of the state. The Scheme provided financial assistance, with subsidies, to the individuals who are unable to start their particular business. The study is based on both primary data collected from the well-designed questionnaire and also on Secondary data and information which is collected from the Commerce and Industry Department, Government of Sikkim. To meet the objectives, the OLS Estimation, Regression analysis and Descriptive Statistics are being used. As per the analysis the maximum amount sectioned to individual is Rs. 20lakhs and Minimum Amount is Rs.470000. In the scheme CMSS, participation of the is male Population is 81.66 Percentage out of 100percent and Female Participation is 18.33 9ercent. Among all the activities more amount is sanctioned for Commercial Taxi. Maximum Net Income for beneficiaries is Rs.80000 Per month and minimum is Rs. 7000 per month generated through the scheme. As per the study the percentage of participation of senior secondary is 46 percent out of 100Percent which is highest and second is 32percent from Graduate, 15percent from high school and 7percent from postgraduates. By testing it has found that the education and age have high significance on the income generation. According to the Survey information found that maximum beneficiaries is among age group between 20-30years which means the young participation is more in the scheme. Among all, the total male employment generated under the scheme is 72.72percent and female employment is 27.22 percent. It is found that in both cases the participation as well as employment creation the male population is more than the female.

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Keywords: Chief Minister Start-up Scheme (CMSS), OLS, Sikkim,

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Creative Commons Attribution 4.0 and The Open Definition

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Programmed Instruction or programmed Learning is one of the most innovative. Highly individualized, systematic and very recent type of teaching learning process is often referred as auto instruction and is extremely useful for self-learning and equally beneficial for class room instruction as well. At present suitable self-instructional programmed materials have been prepared for different subjects and grades which are used by different students for self-instructional purpose. Programmed learning is extensively used in the teaching learning process of all those subjects which include practice and drill work and require logical and systematic study.

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Self-Instructional Modules in Social Science Teaching

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Creative Commons Attribution 4.0 and The Open Definition

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This paper proposes a contactless system for speed tracking to control the speed of electrical motor load. For contactless speed measurement, the Infra-Red (IR) sensor module is used to calculate the number of revolutions of rotor at every minute as pulses. Conventionally, the speed was detected using tachometer through direct contact process, however the accuracy gets affected due to vibrations caused and resolution varies abruptly. Hence, the contact less or non-contact approaches were evolved to achieve accurate speed tracking. In this work, the tracking scheme uses an IR sensor module to count the RPM pulses which is transmitted to Arduino Nano. After computational process of Arduino controller, the necessary suitable control action is initiated for the speed control of motor. Also, the computed Revolutions per Minute (RPM) speed is displayed in Liquid Crystal Display (LCD) board for direct user interface access. This contactless tachometer design facilitates the RPM calculation for a motor without any direct contact with the rotating object.

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Creative Commons Attribution 4.0 and The Open Definition

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Speed Tracking, Arduino Nano, Infra-Red Sensor, Digital Tachometer

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Other, Discrimination, Exclusion ,Alienation, Post-colonial , Creature, Appearance.

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Creative Commons Attribution 4.0 and The Open Definition

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Obsessive-compulsive disorder, Internal locus of control, Hope, Depression

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Creative Commons Attribution 4.0 and The Open Definition