this paper presents an innovative approach to maximize cell coverage and capacity in a private LTE network by optimizing resource block (RB) and power allocation. the proposed method decomposes the cell into sub-cells...
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the proceedings contain 251 papers. the topics discussed include: honey encryption based hybrid cryptographic algorithm: a fusion ensuring enhanced security;face recognition system using machine learning algorithm;pre...
ISBN:
(纸本)9781728153711
the proceedings contain 251 papers. the topics discussed include: honey encryption based hybrid cryptographic algorithm: a fusion ensuring enhanced security;face recognition system using machine learning algorithm;predicting clinical re-admission using discharge summaries (PCRUDS);dementia detection using machine learning by stacking models;fuzzy logic based charging of electric vehicles for load management of microgrid;virtual mouse using object tracking;deep learning based surgical workflow recognition from laparoscopic videos;classification algorithms based mental health prediction using data mining;analysis and application of zigzag transformer in distribution system for mitigation of triplen harmonics;prioritization of parts of a medical equipment using analytical hierarchy process;and voice controlled personal assistant robot for elderly people.
High Performance Computing (HPC) platform provides computing, storage, and communication facilities to process real-Time applications efficiently. Such applications produce less important results if the deadlines are ...
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Use of high-level scripting languages to solve big data problems has become a mainstream approach for sophisticated machine learning data analysis. Often data must be used in several steps of a computation to complete...
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ISBN:
(纸本)9781479970346
Use of high-level scripting languages to solve big data problems has become a mainstream approach for sophisticated machine learning data analysis. Often data must be used in several steps of a computation to complete a full task. Composing default data transformation operators withthe standard Hadoop MapReduce runtime is very convenient. However, the current strategy of using high-level languages to support iterative applications with Hadoop MapReduce relies on an external wrapper script in other languages such as Python and Groovy, which causes significant performance loss when restarting mappers and reducers between jobs. In this paper, we reduce the extra job startup overheads by integrating Apache Pig withthe high-performance Hadoop plug-in Harp developed at Indiana University. this provides fast data caching and customized communication patterns among iterations for data analysis. the results show performance improvements of factors from 2 to 5.
the term "fake news" gained international popularity as a result of the 2016 US presidential election campaign. It is related to the practice of spreading false and/or misleading information in order to infl...
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ISBN:
(纸本)9783030290351;9783030290344
the term "fake news" gained international popularity as a result of the 2016 US presidential election campaign. It is related to the practice of spreading false and/or misleading information in order to influence popular opinion. this practice is known as disinformation. It is one of the main weapons used in information warfare, which is listed as an emerging cybersecurity threat. In this paper, we explore "fake news" as a disinformation tool. We survey previous efforts in defining and automating the detection process of "fake news". We establish a new fluid definition of "fake news" in terms of relative bias and factual accuracy. We devise a novel framework for fake news detection, based on our proposed definition and using a machine learning model.
the proceedings contain 39 papers. the topics discussed include: using spatial reference frames to generate grounded textual summaries of georeferenced data;dependency tree based sentence compression;extractive vs. NL...
the proceedings contain 39 papers. the topics discussed include: using spatial reference frames to generate grounded textual summaries of georeferenced data;dependency tree based sentence compression;extractive vs. NLG-based abstractive summarization of evaluative text: the effect of corpus controversiality;attribute selection for referring expression generation: new algorithms and evaluation methods;the use of spatial relations in referring expression generation;using tactical NLG to induce affective states: empirical investigations;accurate and robust LFG-based generation for Chinese;what's in a message? interpreting geo-referenced data for the visually-impaired;generation of output style variation in the SAMMIE dialogue system;the importance of narrative and other lessons from an evaluation of an NLG system that summarises clinical data;and degree of abstraction in referring expression generation and its relation withthe construction of the contrast set.
the proceedings contain 16 papers. the topics discussed include: research on consensus control of UAVs formation in distributed network: algorithms and global convergence analysis;cost-effective edge server placement ...
ISBN:
(纸本)9781450372640
the proceedings contain 16 papers. the topics discussed include: research on consensus control of UAVs formation in distributed network: algorithms and global convergence analysis;cost-effective edge server placement in edge computing;indoor location method based on data mining;blockchain-based privacy-preserving authentication and message dissemination scheme for VANET;offloading monocular visual odometry with edge computing: optimizing image quality in multi-robot system;multi-rate hierarchical fusion estimation of nearest neighbor clusters in sensor networks based on target tracking;an autonomous navigation method for indoor pedestrian based on dual MIMU and dual-foot distance measurement;research on consensus control of UAVs formation in distributed network: algorithms and global convergence analysis;and exploratory simulation drilling environment design based on interactive data generation method.
the proceedings contain 65 papers. the topics discussed include: an algorithm for computing the outcome of combinatorial auctions with proxy bidding;a heuristic bidding strategy for multiple heterogeneous auctions;aut...
ISBN:
(纸本)1581137885
the proceedings contain 65 papers. the topics discussed include: an algorithm for computing the outcome of combinatorial auctions with proxy bidding;a heuristic bidding strategy for multiple heterogeneous auctions;automated mechanism design: complexity results stemming from the single-agent setting;optimal clearing algorithms for multi-unit single-item and multi-unit combinatorial auctions with demand/supply function bidding;efficient monte carlo decision tree solution in dynamic purchasing environments;performance analysis of a counter-intuitive automated stock-trading agent;a comparison of two algorithms for multi-unit k-double auctions;multi-attribute supply chain negotiation: coordinating reverse auctions subject to finite capacity considerations;unified solution for procurement integration and B2B stores;and mechanisms for coalition formation and cost sharing in an electronic marketplace.
Nowadays many machines and robots are programmed to perform the same task repeatedly. the Iterative Learning Control (ILC) paradigm is based on the idea that the performance of a system that executes the same trial mu...
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ISBN:
(纸本)9781538650653
Nowadays many machines and robots are programmed to perform the same task repeatedly. the Iterative Learning Control (ILC) paradigm is based on the idea that the performance of a system that executes the same trial multiple times can be improved by learning from the previous iterations. the objective of ILC is to improve the batch process performance by incorporating past trials error information into the control reference signal for the subsequent iteration. the ILC algorithms are categorized with respect to the number of past iterations considered to compute the next control signal and the first order ILC includes those algorithms considering only information about the last trial. In this paper different first order ILC update laws have been considered and compared controlling a Single-Input Single-Output (SISO) micro-positioning piezostage system. the proposed comparison allows to evaluate the performance of different first order ILC algorithms tested on the considered real world case study.
the proceedings contain 62 papers. the topics discussed include: analyzing customer and user preferences on messenger as a platform in Indonesia;dynamic programming algorithm using furniture industry 0/1 knapsack prob...
ISBN:
(纸本)9798350369489
the proceedings contain 62 papers. the topics discussed include: analyzing customer and user preferences on messenger as a platform in Indonesia;dynamic programming algorithm using furniture industry 0/1 knapsack problem;enhancing facial expression recognition through ensemble deep learning;assessing the importance of dynamic features of academic performance using machine learning models during distance education caused by COVID-19;classifying and predicting the rating sentiment of women's e-commerce clothing reviews: a comparative study using SVM, ANN, and BERT models;a concentration selection in study programs using smote techniques with ensemble learning algorithms;estimated twitch streamer revenue using linear regression algorithm;and classification of heart disease: comparative analysis using KNN, random forest, Gaussian Naive Bayes, XGBoost, SVM, decision tree, and logistic regression.
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