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检索条件"丛书名=Learning and Analytics in Intelligent Systems"

共 229 条记录，以下是101-110 订阅

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XGBoost Classifier to Extract Asset Mapping Features 1

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作者： Sree Divya, K. Bhargavi, P. Jyothi, S. Department of Computer Science Sri Padmavati Mahila Visvavidyalayam Tirupati India

ISBN: (数字)9783030469399

ISBN: (纸本)9783030469382;9783030469412

In steep growth in the consumption of Internet, Big Data came into picture for handling enormous amount of data. However, the data that is generated through internet has high dimensional data. So, feature engineering will be performed—to extract the best feature subset from high dimensional data. Assets are the ones to keep, expand upon, and support for the one who and what is to come. Asset mapping is a positive and charming way to learn about the community. It empowers us to contemplate where individuals live and work. It also challenges us to recognize how other people see the same community. In this paper, a model is introduced to find the required assets based on the population in the area and whether the available assets are tangible are not, is identified by extracting the features from the data gathered from the government of Andhra Pradesh. The data is pre-processed by extracting the best features in it by using feature engineering methods and classifiers like XGBoost, Random Forest and ExtraTreeClassifier. The experimental results proves that XGBoost provides the most accurate results for the specified target. © 2020, Springer Nature Switzerland AG.

关键词： Mapping

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Real Time Recognization of Rashdriving and Alcohol Detection to Avoid Accidents and Drunken Driving 1

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作者： Swarnalatha, S. Srilakshmi, T. Thilak Kumar, K. Department of Electronics and Communication Engineering S.V. University College of Engineering A.P. Tirupati India

ISBN: (数字)9783030469399

ISBN: (纸本)9783030469382;9783030469412

In Today’s life most number of accidents are occurring because of rash driving and driving the vehicle by consuming vehicle. These are the two important reasons for occurring accidents today and may also be in future generations. So we have to take some important decisions to prevent the accidents happening with this two reasons. Now a days as technology got improved more and more we have different systems available to detect the alcohol content in drivers breath and detection of the vehicle speed which exceeds normal speed limit that pose danger to driver. More number of accidents is occurring and is increasing day by day and among these accidents more than 50% are occurring due to alcohol consumption and 50% is occurring due to rash driving. So we have to take immediate action to prevent accidents due to alcohol consumption and rash driving. To overcome all these, this paper provides a smart system that detects the drunk and driving as well as over speeding on roads using vehicular networks tech. The main objective is to stop the drunken person by traffic personnel as early as possible and save lives before the accident even happens. © 2020, Springer Nature Switzerland AG.

关键词： Accidents

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Short Term Price Forecasting of Horticultural Crops Using Long Short Term Memory Neural Network 1

引用

作者： Prakash, N. Sumaiya Farzana, G. Associate Professor/IT B.S. Abdur Rahman Crescent Institute of Science and Technology Chennai India Research Scholar Department of CSE B.S. Abdur Rahman Crescent Institute of Science and Technology Chennai India

ISBN: (数字)9783030469436

ISBN: (纸本)9783030469429;9783030469450

In developing countries like India, vegetable price is not stable. It keeps on varying drastically depending on weather, seasons, government policy etc. Because of the price fluctuation farmers suffer from losses and consumers put up with an overpricing strategy. Price forecasting of horticultural crop is necessary for farmers to make an effective decision and also make the agribusiness progressively gainful. ARIMA is the most widely used linear model for price forecasting in time series algorithms. The problem in the ARIMA model is it failed to seizure nonlinear patterns and moreover, it works only if the data is stationary. Recently LSTM has gained more attraction among researchers in capturing nonlinear patterns. In this paper, we are using Long Short Term Memory Neural Network for foreseeing the daily price of tomatoes based on historical data. Empirical results demonstrate that the LSTM model is a promising method in capturing nonlinear patterns. © 2020, Springer Nature Switzerland AG.

关键词： Long short-term memory

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Optimizing TCP Congestion Control Techniques for Wireless Network Architectures 1

引用

作者： Vasudha Rani, K. Kavitha, B. Rayalaseema University Kurnool India Srikalahasti India

ISBN: (数字)9783030469436

ISBN: (纸本)9783030469429;9783030469450

International Organization of Standardization (ISO) introduced in 1977 with standard 7-layer approach and one of the layer is Transport layer hosted at level 4. Short for Sequenced Packet Exchange, Various Conge3stions for Datagram control through Stream Control Transmission and Congestion Protocol for Datastream Controlling. Whereas the proposed which is called as Transmission Control Protocol intended to transfer reliable and concrete end-to-end data communication in unguided medium. Certainly, TCP allows the 90% of data communication over internet, the view of internet execution using the proposed protocol is varient extent for end to end throughput time calculations. The functioned remote systems which are degraded by TCP and maintained through end to end communication system by controlling packet lost, packet drops and packet hacking which are to be retransmitted using a new algorithm for controlling congestion, loss and other efficiency like time. The proposed isolated condition for controlling the unbalanced packets will control the reordering as blockage and controlling the production for retransmission. Existing methodologies, suitable elements two proposed frameworks for better dealing with in systems with irregular misfortune and deferral. Assessment of the proposed frameworks is led utilizing NS2 test system by contrasting against standard TCP variations and shifting number of bounces. © 2020, Springer Nature Switzerland AG.

关键词： Transmission control protocol

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A Comprehensive Study on GMU Protocol and Its Designing Impact in Cloud Computing 1

引用

作者： Ghosh, Ammlan Siliguri Institute of Technology Siliguri India

ISBN: (数字)9783030423636

ISBN: (纸本)9783030423629;9783030423650

Efficient replication technique is the fundamental building block of highly available fault-tolerant cloud system. There are various replication policies that can be implemented in Cloud architecture. Recently proposed cloud application, Cloud-TM, is a data centric middleware platform that aims to reduce operational and administrative cost of cloud application. Cloud-TM integrates GMU (Genuine Multiversion update-serializability partial data replication protocol) in its designing space to support genuine partial replication policy. GMU protocol maintains a tradeoff between consistency and performance. Its consistency semantics guarantees the correctness even in a complex workload. However there are various challenging issues in GMU protocol that are required to be discusses to open up future research scope. In this paper author intervenes in the various aspect of GMU protocol and find its research scope those have notable designing impact in Cloud Data platform. © 2020, Springer Nature Switzerland AG.

关键词： Cloud computing

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Polycystic Ovarian Follicles Segmentation Using GA 1

引用

作者： Himabindu, K. Narasimhulu, S. LawrenceDhreeraj, Ch. Sarath, T. Department of MCA SVCE Tirupati India Department of CSE SVCE Tirupati India Department of CSE SISTK Puttur India

ISBN: (数字)9783030469399

ISBN: (纸本)9783030469382;9783030469412

Up to 5–15% of the women affects the reproductive system this abnormality syndrome called Polycystic Ovarian Syndrome (PCOS). Polycystic ovary syndrome (PCOS) has been a gynecological endocrine syndrome that proffers the consequence in health issues of menstrual dysfunctions, androgynism and also infertility. Usually it occurs in reproductive aging women. PCOS directs to unsuitable follicle development of the ovaries that are seized at a former stage. Periodic measurements of the dimension and description of follicles over several days are the crucial means of enquiry by physicians. In this paper, a new algorithm for automatic detection of follicles in ultrasound image for ovaries is suggested. The proposed algorithm uses various edge based methods are using for Ovaries follicles segmentation that is GA with Sobel and GA with Canny. Hence, we compare the variety of these techniques and demands assures the GA with Canny operator provides a better performance on ovarian follicle. © 2020, Springer Nature Switzerland AG.

关键词： Genetic algorithms

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Supporting Change Management of Sequence Diagrams 1

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作者： Odamura, Toshitaka Omori, Takayuki Ohnishi, Atsushi Ritsumeikan University Shiga Kusatsu5158577 Japan

ISBN: (数字)9783030539498

ISBN: (纸本)9783030539481;9783030539511

UML Sequence diagram is an effective model to specify behaviors of the target system. Sequence diagrams can be used for specifying interactions between a system and its user, and interactions between objects. Just like scenarios, sequence diagrams are useful for requirements elicitation in the requirements definition. Sometimes sequence diagrams should be modified in accordance with requirements changes or correction of errors. In such a modification, careless mistakes may lead to include another error in the diagram. As a result, careless modifications may lead to a failure of software development. In this paper, we propose a method of visualization of the difference between original sequence diagram and modified one by emphasizing the difference in order to eliminate newly produced errors in the modified sequence diagram. We adopt PlantUML as a description language and a viewer of sequence diagrams. We illustrate our method using a prototype system written with Java with an example. © 2020, Springer Nature Switzerland AG.

关键词： Errors

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A Study on Smart Cities Using Blockchain 1

引用

作者： Gupta, Yagnyasenee Sen Mukherjee, Shyamapada Department of Computer Science and Engineering National Institute of Technology Silchar Assam Silchar India

ISBN: (数字)9783030423636

ISBN: (纸本)9783030423629;9783030423650

The evolution of smart cities has come into existence with the urge of modernistic vision and as an impact of the growth of science and technology in search of a faster, better and safer life. The notion to upgrade the quality and comfort of day-to-day life in order to encourage healthy development and thus improving the work culture of urban systems is the essence of smart cities. The expansion of modern technologies has largely armored the smart cities with many sophisticated electronic devices which help us in life by turning us into more smarter and scientifically developed individuals. The aim of the paper is to present a direction into the basics of the origin and essence of a smart city besides its subtle application, benefits and advantages integrated with the blockchain technology. The probable smart city applications in regards to the technological and developmental future scopes gives another important point of discussion in the paper. Besides this, a few experiences of daily life in smart cities around the globe and the prime obstacles to the implementation and smooth functioning are elaborated. © 2020, Springer Nature Switzerland AG.

关键词： Smart city

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An Evolutionary Optimization Methodology for Analyzing Breast Cancer Gene Sequences Using MSAPSO and MSADE 1

引用

作者： Lohitha Lakshmi, K. Bhargavi, P. Jyothi, S. Department of Computer Science Sri Padmavati Mahila Visvavidyalayam Tirupati India

ISBN: (数字)9783030469399

ISBN: (纸本)9783030469382;9783030469412

An evolutionary methodology using multiple sequence alignment technique with optimal search algorithms particle swarm optimization and differential evaluation is proposed in this paper. Proposed methodology algorithms are termed as Multiple Sequence Alignment and Particle Swarm Optimization (MSAPSO) and Multiple Sequence Alignment and Differential Evaluation (MSADE). These techniques are developed to categorize gene sequences based on optimal result produced for each generation. These evolutionary techniques encompasses of two phases in designing. In first phase MSA is pragmatic on pair wise sequences to generate aligned sequence as output. The sequence generated as output in the first level will be given as input to second phase. In the second segment optimal search algorithms PSO or DE are applied on sequences which generate optimal value and generation best value for each generation. These values are considered for further categorization. This paper presents analysis of MSAPSO and MSADE on gene sequences. © 2020, Springer Nature Switzerland AG.

关键词： Genes

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Improving Accuracy of Automatic Derivation of State Variables and Transitions from a Japanese Requirements Specification 1

引用

作者： Ii, Hiroya Okano, Kozo Ogata, Shinpei Faculty of Engineering Shinshu University 4-17-1 Wakasato Nagano380-8553 Japan

ISBN: (数字)9783030539498

ISBN: (纸本)9783030539481;9783030539511

A requirement specification for software is usually described in a natural language and thus may include sentences containing ambiguity and contradiction. Design errors due to ambiguous expressions and contradictions are often found later in the development process. These ambiguous sentences would force the developer to go back to the design process again. In order to prevent this kind of rework, a method of automatically converting a requirements specification written in Japanese to a state transition model is desired to help detect ambiguity and contradiction points of the specification. Our previous research proposed a method to extract the sentence elements necessary for creating a state transition diagram by utilizing morphological analysis techniques and sentence parsing. The extracted elements, however, contained many redundant or unnecessary elements. This paper proposes an improved method to remove such redundant or unnecessary elements by mainly improving parsing rules. This paper also reports the effectiveness of the proposed method by showing the extracted elements necessary for creating a state transition diagram. © 2020, Springer Nature Switzerland AG.

关键词： Specifications

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