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检索条件"丛书名=Advances in Intelligent Systems and Computing"

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Using Hyperledger Fabric Blockchain to Maintain the Integrity of Digital Evidence in a Containerised Cloud Ecosystem 4th

Using Hyperledger Fabric Blockchain to Maintain the Integrit...

引用

4th International Conference of Reliable Information and Communication Technology (IRICT)

作者： Awuson-David, Kenny Al-Hadhrami, Tawfik Funminiyi, Olajide Lotfi, Ahmad Nottingham Trent Univ Sch Sci & Technol Nottingham NG11 8NS England

ISBN: (纸本)9783030335823;9783030335816

As Cloud technology continues to evolve with a vast amount of data being transmitted daily, it has added another form of complexity in a forensic investigation. In order to mitigate the complexity of evidence acquisition in the Cloud, we need a method that can forensically maintain digital accounting and trustworthiness with data confidentiality and integrity in the Cloud environment. The current systems have severe security vulnerabilities as it does not provide data confidentiality, integrity and accountability of users and system logs. Due to the complexity in the Cloud ecosystem, acquired evidence can easily be contaminated and cannot be admissible in a court of law. The geolocation, multi-tenancy and political issues have added to the complexity in forensic investigations. Blockchain will facilitate trust between the Cloud Service Providers (CSP) and their customers by heightening the trustworthiness of data and its integrity both in transit and storage. In this paper, we are proposing an innovative permissioned Hyperledger Fabric Blockchain Containerised Cloud ecosystem that will secure and preserve the integrity of digital evidence both in transit or storage. Then, design and implement a Dockerised private Blockchain Cloud ecosystem architecture that will mitigate the challenges faced by forensic investigators in the Cloud ecosystem by preserving evidence integrity in a multitenancy and private Cloud environment.

关键词： Blockchain Cloud forensics Digital forensic Digital evidence Docker container Hyperledger Fabric

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Production Resources Utilization Improvement with the Use of Simulation Modelling 40th

Production Resources Utilization Improvement with the Use of...

引用

40th Anniversary International Conference on Information systems Architecture and Technology (ISAT)

作者： Gornicka, Dagmara Kochanska, Joanna Burduk, Anna Wroclaw Univ Sci & Technol Fac Mech Engn Wybrzeze Wyspianskiego 27 PL-50370 Wroclaw Poland

ISBN: (纸本)9783030306045;9783030306038

In the paper, the problem of proper resources management is considered. The problem was analysed and the results of a research on production improvement are presented, concerning specifically utilization rates of machinery and operators, as well as increase of production capacity. These aspects affect the efficiency of the whole production process. Thus, the proper resources management is an additional challenge that needs to be done by every manufacturing company. Examinations were carried-out in a company from the automotive industry, where the utilization of resources of three production lines were considered. In this case, the operators and machines utilization rates were emphasized. The optimization criteria was to increase the utilization rate of resources and reduce the time needed to produce one piece of each analysed products. The methods used to perform the improvement were, among the others, kanban and supermarket systems. The results were verified using computer simulation models designed for both present state and the state after implementing the suggested solutions.

关键词： Improvement of production process Management of operators' work Utilization of production machinery Simulation model Logistics

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Evaluation of Display Concepts for the Instrument Cluster in Urban Automated Driving 2nd

Evaluation of Display Concepts for the Instrument Cluster in...

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2nd International Conference on Human systems Engineering and Design (IHSED) - Future Trends and Applications

作者： Feierle, Alexander Buecherl, Fabian Hecht, Tobias Bengler, Klaus Tech Univ Munich Chair Ergon Boltzmannstr 15 D-85748 Garching Germany

ISBN: (纸本)9783030279288;9783030279271

Instrument clusters represent the primary human-machine-interface for displaying driving-related information. Due to the changing relevance of driving-related information in automated driving, a reconfiguration of the display should be investigated. A display concept for an instrument cluster for partially and highly automated driving was developed that adapts the display and positioning of information to the level of automation. The developed concept was compared with a conventional display concept. Thirty participants took part in an experiment performing an occlusion task and a choice reaction time task. The statistical analysis revealed no significant differences in the response accuracy of the occlusion task between the display concepts. The results of the choice reaction time task show a significantly faster reaction time and in contrast to the occlusion task, a significantly lower response accuracy for the adaptive display concept compared to the conventional display concept. The subjective analysis revealed a preference of the adaptive display concept.

关键词： Human-Machine-Interface Automated driving Instrument cluster

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A Brief Review of the IoT-Based Energy Management System in the Smart Industry 4th

A Brief Review of the IoT-Based Energy Management System in ...

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4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering systems (ICAIECES)

作者： Bagdadee, Amam Hossain Zhang, Li Remus, Md Saddam Hossain Hohai Univ Coll Energy & Elect Engn Nanjing Peoples R China Jahangirnagar Univ Dhaka Bangladesh

ISBN: (纸本)9789811501999;9789811501982

Nowadays, manufacturing circumstances, rising energy costs, increased concern for the environment, and changes in the practice of consumers promoting green manufacturing organizations. The remarkable increase in modernization in recent years requires an economical, productive, and smart solution such as transportation, management, the state, personal satisfaction. Energy demand for IoT applications is growing. In this particular situation, energy management is an important issue because of high energy savings and efficient energy crisis reasons. In this paper, IoT energy management tends to achieve green energy response and communication from supply and demand. As a result, smart industrial planning must be able to use energy productively to overcome related difficulties. At that time, we will provide a structure for combining reservations and increasing energy efficiency in smart industries based on IoT. Also, I will explain the energy generation in smart industries. This is a solution to extend the low power of equipment with control-related problems too. In this paper has discussed case studies. The smart factory energy planning and the second include wireless power transfer from IoT implements in the smart industry. The situation of smart industrial facilities has shown as contextual analysis, including progress considering the balance of energy supply and demand, unsolved issues also discussed in the field of IoT-based energy management system.

关键词： IoT Smart industry Energy management Power system The industrial sector

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The Efficiency of Energy Storage systems Use for Energy Cost Mitigation Under Electricity Prices Changes 15th

The Efficiency of Energy Storage Systems Use for Energy Cost...

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15th International Conference on Dependability of Computer systems (DepCoS-RELCOMEX)

作者： Grakovski, Alexander Krivchenkov, Aleksandr Transport & Telecommun Inst Lomonosova St 1 LV-1019 Riga Latvia

ISBN: (纸本)9783030482558;9783030482565

The purpose of present research is an analysis of currently promoted energy storage systems based on high-capacity electric batteries from the standpoint of algorithms for intelligent control of their charge and discharge processes. It is discussed the reduction the cost of electricity consumed by the enterprise by the redistributing of energy depending on the variation in tariffs over time. It is based on the use of the Energy Storage System (ESS) and optimal battery charge/discharge schedule. An estimation of savings in consumed energy costs is carried out depending on the power, capacity of ESS, as well as of the period of planned schedule calculating. On base of numerical simulation of battery's charge/discharge control by linear programming optimisation method the efficiency of ESS usage was estimated in the range 10-15% for different periods from 1 up to 5 days of scheduling (planning horizon) respectively.

关键词： Energy Storage System (ESS) ESS efficiency Battery Electricity tariff Charge/discharge scheduling

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Ontology-Based intelligent Agent for Determination of Sufficiency of Metric Information in the Software Requirements 15th

Ontology-Based Intelligent Agent for Determination of Suffic...

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15th International Scientific Conference on Intellectual systems of Decision Making and Problems of Computational Intelligence (ISDMCI)

作者： Hovorushchenko, Tetiana Pavlova, Olga Medzatyi, Dmytro Khmelnytskyi Natl Univ 11 Inst Ska Str UA-29016 Khmelnytskyi Ukraine

ISBN: (纸本)9783030264741

This research is devoted to implementation of the ontology-based intelligent agent (OBIA) for the determination of the sufficiency of metric information in the software requirements. The method of actions of such an OBIA is developed. The intelligent agent, who works on the basis of the developed method, determines the sufficiency of metric information in the software requirements, performs a numerical assessment of the sufficiency level of metric information, and offers a visual list of missing indicators necessary for the calculation of metrics. Functioning of the realized agent allows increasing the sufficiency level of metric information in the software requirements. The developed intelligent agent allows to partially eliminate the person from the processes of processing the information, to avoid the losses of important information and to increase the amount of metric information at the phase of requirements gathering, which in the complex provides increasing the software quality. During the experiments, the intelligent agent investigated the requirements for software of the system of improving the safety of computer systems' software, which resulted in the sufficiency of metric information in requirements increased by 44%.

关键词： Software requirements Metric information Sufficiency Ontology-based intelligent agent (OBIA)

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The Use of NN to Detect Learning Styles of Children with Learning Disabilities in E-Learning System 2nd

The Use of NN to Detect Learning Styles of Children with Lea...

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2nd International Conference on Advanced intelligent systems for Sustainable Development (AI2SD)

作者： Elhammoumi, Oussama Benmarrakchi, Fatima Ezzahra Ouherrou, Nihal El Kafi, Jamal Chouaib Doukkali Univ Comp Sci Dept El Jadida Morocco

ISBN: (纸本)9783030366537;9783030366520

Every child learns differently and possesses a dominant or preferred learning style in certain ways. The cognitive development of children with learning disabilities (LDs) is often different than that of children without LDs. However, understanding how it differs from normal child development is important to understand how learning style identification can assist children with LDs. The aim of this paper is to propose an automatic learning style detection that works by the way of children interaction with the system. In this study, an Artificial Neural Network is used to predict the learning style of children with LDs.

关键词： Learning disabilities VARK model Dyslexia Learning style Artificial neural network

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Performance Evaluation of VegeCare Tool for Tomato Disease Classification 22nd

Performance Evaluation of VegeCare Tool for Tomato Disease C...

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11th International Conference on intelligent Networking and Collaborative systems (INCoS) / 22nd International Conference on Network-Based Information systems (NBiS)

作者： Ruedeeniraman, Natwadee Ikeda, Makoto Barolli, Leonard Fukuoka Inst Technol Grad Sch Engn Higashi Ku 3-30-1 Wajiro Higashi Fukuoka 8110295 Japan Fukuoka Inst Technol Dept Informat & Commun Engn Higashi Ku 3-30-1 Wajiro Higashi Fukuoka 8110295 Japan

ISBN: (纸本)9783030290290;9783030290283

The aged population in Japan is increased and some people start to work in agriculture after the retirement. Therefore, it is important to teach the skills to these agricultural beginners. Also, to improve the productivity of vegetables, advanced approaches based on Artificial Intelligence (AI) and sensing technology are needed. We focus on vegetable recognition using Deep Neural Network (DNN) as a method to visualize the knowledge in vegetable production. In this paper, we present the performance evaluation of VegeCare tool for tomato disease classification. We used 6 kinds of tomato diseases. The plant disease classification is one of the functions of the proposed VegeCare tool, which helps the growth of vegetables for farmers. The evaluation results show that the learning accuracy was more than 90%. We found that the tomato disease classification results was selected correctly for the tomato mosaic virus.

关键词： Plant disease classification VegeCare Tomato disease DNN

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Source Camera Identification for Online Social Network Images Using Texture Feature 4th

Source Camera Identification for Online Social Network Image...

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4th International Conference on Soft computing and Data Mining (SCDM)

作者： Rahim, Nordiana Foozy, Cik Feresa Mohd Univ Tun Hussein Onn Malaysia Fac Comp Sci & Informat Technol Batu Pahat 86400 Johor Malaysia

ISBN: (纸本)9783030360566;9783030360559

Nowadays, digital images are easily shared through social media and it common amongst internet users. It was a convenient way to share a moment and communicate with people all over the worlds through social media on the internet. However, this has caused the increasing number of crimes involving digital images in social media. It is well known that each digital image that passes through online social networks (OSNs) is explicitly modified by Web 2.0 tools. Thus, it is challenging for authorities to probe further, including identifying the source of the digital images. Considering this limitation, an alternative method to identify source camera based on the texture feature for OSNs images is proposed. This technique uses texture feature characteristics, namely, Gray Level Co-Occurrence Matrix (GLCM) and Gray Level Run-Length Matrix (GLRLM). Original and OSNs images were tested to determine whether the proposed method is robust for both image types and gives higher accuracy than previous methods. Four types of camera models were used in this research. The results prove that the method tested in this study is accurate with an average accuracy of 97.00% and 99.59% for original and OSNs images, respectively, and is capable to read up to 600 images.

关键词： Digital image Source camera identification Online social network Texture feature

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Image Segmentation Method Based on Statistical Parameters of Homogeneous Data Set 2nd

Image Segmentation Method Based on Statistical Parameters of...

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2nd International Conference of Artificial Intelligence, Medical Engineering, Education (AIMEE)

作者： Shkurat, Oksana Sulema, Yevgeniya Suschuk-Sliusarenko, Viktoriya Dychka, Andrii Igor Sikorsky Kyiv Polytech Inst 37 Peremogy Ave UA-03056 Kiev Ukraine

In this paper, we present a new automatic method of image segmentation, which uses statistical parameters of a homogeneous data set. The method can be applied to image sets obtained from CT, MRI, ultrasound, and histo... 详细信息

ISBN: (纸本)9783030120825;9783030120818

关键词： Image segmentation Contour detection Medical images analysis

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