5153 research outputs found
Sort by
Smart Rating for Electronics Gadgets Data
No full textAggregator websites of Electronic gadgets listings decide if they want to pick a particular listing from an e-commerce website and display on their own website. Selection of the right items to list is essential to customers selecting products for purchase, therefore leading to higher revenues. Many e-commerce websites do not collect user ratings, or do not provide this data to our website. Hence, it is difficult to determine whether to display the product or not. Simply removing all items without ratings could lead to high opportunity costs, hence, another solution is required Predict the High - Low rating for any new electronic gadget listing to be introduced on the aggregator website monitored by bargain.in. The same model can also be used to predict the High - Low Rating on websites that do not support the feature of Average Rating
Use of data mining techniques for the analysis of consumer’s electricity consumption over a year in particular region
No full textData mining techniques are used to discover electricity consumption pattern at regional level in a city and used to extract knowledge concerning to the electricity consumption with respect to atmospheric temperature and physical distance from geographic features like river, farm, ground and highway. The demand for electricity keeps on increasing almost every year and almost in every region. Installing and developing such a new electricity generation plants is practically impossible due to environmental preservation awareness and pollution control policies of government. To deal with such situation, one needs to find the optional ways for handling and management electricity loads in future with current capacity of electricity generation
Hybrid Evolutionary Framework for Designing and Implementing Autonomous Modular Robotics
No full textThis paper proposes a novel framework for automatically designing feasible robots that are made up of various heterogeneous modules and raw materials already existing in the surrounding environment. Moreover, it highlights the interrelationship between the robot’s morphology, control, and environment by analyzing the coevolution of morphology and control in robots and allowing the initial set of robots to use the available units in the environment to self-assemble, self-reconfigure, and self-repair. In addition, digital fabrication technologies such as 3D printing are utilized to produce new units if needed and available
Energy-Efficient Dynamic Motion Control for Wheeled Mobile Robots Using Low Cost Resources
No full textMobile robotic systems have gained significant attention in human interest, where they represent such a complex interaction with challenging environments. Some applications require continuous operations, so the robots motions have to be optimized to reduce their energy consumption. In addition, total energy consumption in mobile robotic applications is one of the most important issues that has not been adequately considered. Mobile robots are limited by the amount of energy supplied by the batteries they carry where a new supply of energy while working is too expensive to be realistic. Thus, this work aiming to minimize the energy consumption of a wheeled mobile robot in dynamic environments
A Mathematical Framework for the Energy Spectrum of Primary Cosmic Rays
No full textPrimary cosmic rays are nucleons from outer space incident upon the Earth’s atmosphere. Their flux varies with energy E as ^(−) in which the exponent assumes values between 2.5 and 3.2. We provide herein a framework to account for these values. We consider the particles’ kinetic temperature T and introduce a damping factor ^(−) to account for non head-on collisions. It is the presence of the index m which can provide values of γ
Chirality Based Separation of Carbon-Nanotubes by Analyzing the Specific Interaction with the AMB-1 Flagellin Derived Tri-Peptide.
No full textIsaac et. al (2015) studied the interaction between the flagellum of AMB-1 and different chirality CNTs (m-CNT and s-CNT). The observations through Molecular Dynamics simulations demonstrated that the glycine residues in D3 domain of flagellum interacts with m-CNT whereas such an interaction with s-CNT is absent. The specific interaction of glycine with m-CNT can lead to the development of a biological method for chirality based CNT sorting. Hence, further studies were required to determine the effect of the residues flanking glycine on it’s interaction with m-CNT. The type of interactions and the extent of interaction of different combinations of polar and non-polar amino acid residues flanking glycine were conducted. Hence, the role of glycine with two flanking amino acid residues (tripeptide) is substantiated to determine it’s specific interaction with m-CNT through the study of interaction energy and RMSD of the middle glycine and the flanking residues towards the adsorption of the tripeptide onto m-CNT
Dynamic Knowledge Management
No full textArthur McAdams' and Philip Maymin's poster about a dynamic alternative model for knowledge management
Zone Routing Protocol (ZRP) - A Novel Routing Protocol for Vehicular Ad-hoc Networks
No full text© ASEE 2016This Paper discusses the capability of the current routing protocols for Mobile ad hoc networks for Vehicular ad hoc networks. VANET is derived from MANET and it is a network consisting of vehicles which can communicate wirelessly. In high traffic conditions the message should be delivered correctly between the vehicles and the communication using Road Side Units. VANETs are characterized by a dynamic topology with patterned mobility consisting on mobile nodes with sufficient resources and varied time channel behavior. The network traffic requirements differ for VANET. There are many routing protocols for mobile ad hoc networks which can be used for vehicular ad hoc networks. In this paper, we are introducing Zone Routing Protocol which can improve the parameters of VANET i.e. less communication delay and delivering the messages on time compared to AODV and DSR protocols while the vehicles are moving at high speeds. We have used a simulation to demonstrate those improvements
Predicting U.S. Presidential Election through mining social media data. (Twitter)
No full textData mining is a term that refers to extraction of knowledge or information hidden in large volumes of raw data. The purpose of this project is to predict the popularity of a candidate for US presidential election, 2016 form each state using social media for a given time interval [t1, t2], where t1 is the set of tweets observed between the timestamp t2. Until recently, political parties used information that limited pursing or reaching out to the masses which restricted the scope of a widespread campaign. The outcome of the project will help political parties make proper decision and target the right audience. This project is making use of twitter API which introduce simple concepts to analyze data. It will emphasize on techniques and considerations for mining large amount of data that is posted on twitter in real time