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5th International Conference on Contemporary Computing and Informatics, IC3I 2022

作者： Dheva Rajan, S. Vavilapalli, Sivajee Hasan, Shahriar Kumar, Ritesh Rafa, Nafisa Muda, Iskandar University of Technology and Applied Sciences Almusannah Information Technology Oman Duvvada Department of Management Studies Visakhapatnam India University of Dhaka Department of Finance Bangladesh Maharishi School of Engineering and Technology Uttar Pradesh Lucknow India BBA in Marketing Institute of Business Administration University of Dhaka Dhaka Bangladesh Universitas Sumatera Utara Faculty Economic and Business Department of Doctoral Program Medan20222 Indonesia

ISBN: (纸本)9798350398267

Current article has been developed for understanding the impact of data analytics and machine learning technique in e-commerce. If the observation has been developed for the current market of this technology it can be detected that real-life industry increases their investment which showed the interest in getting advantages. Identification of the problem of costing and different algorithm suitability objectives has been set for understanding the real impact of e-commerce. Secondary data collection has been used for understanding the different usability of machine learning and data analytics for e-commerce. It has been detected that using machine learning brings the benefits of automation and improves continuous growth. Data analytics provide the scope of accuracy build-up. Apart from this different area of application and the different techniques has been analyzed. Understanding become easier and the scope of future benefits can be identified. © 2022 IEEE.

关键词： Data Analytics

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Examining the Usability and Security Features of Smart Farm IoT Systems

Examining the Usability and Security Features of Smart Farm ...

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2023 International Conference on Power Energy, Environment and Intelligent Control, PEEIC 2023

作者： Khawale, Vijay R. Fidvi, Huzaifa A. Shamout, Mohamed Dawood Nama, Gigih Forda Anute, Nilesh Limbore, Nilesh Yeshwantrao Chavan College of Engineering Mechanical Department Nagpur India Anjuman College of Engineering and Technology Mechanical Engineering Sadar Maharashtra Nagpur India College of Business Administration University of Sharjah Department of Management Sharjah United Arab Emirates University of Lampung Department of Informatics Doctoral Program of Environtmental Science Bandar Lampung Indonesia ASM's Institute of Business Management and Research Pune India Sharadchandra Pawar Institute of Management and Research Pune India

ISBN: (纸本)9798350357769

Using the net of factors (IoT) technology has led to a resurgence in improving intelligent farms. The capacity to music and reveal crops, animals, and different farm activities has advanced the performance of farming operations. Clever farms enjoy the blessings of connectivity, allowing farmers to be more informed and higher prepared for any ability issues. This increased connectivity has also opened the door for new security problems. This paper looks at intelligent farm IoT structures' usability and safety features. The paper investigates the overall protection levels of the systems and the various security measures that may be implemented as an excellent way to discover and guard in opposition to ability threats. It also evaluates the usability of the structures and assesses the extent of convenience it offers for agriculture employees. The paper also evaluates the present-day enterprise tendencies in IoT protection, value, and potential future trends. Ultimately, the paper gives insights into modern and future security and usability measures that may be taken to ensure the protection and effectiveness of clever farm IoT systems. The paper examines the usability and protection capabilities of innovative Farm Internet of Things (IoT) structures, which provide farmers with the potential to monitor, manipulate, and control various farm elements remotely. Usability functions consisting of user interfaces, device connectivity, and communication protocols are analyzed to evaluate how user-friendly the device is. Additionally, safety functions consisting of authentication, authorization, encryption, and getting entry to manage are tested to decide how the gadget can defend the statistics and assets of the farm. Moreover, this paper touches upon the contemporary and destiny-demanding situations related to those structures, including scalability, cost, and privacy. ultimately, the paper concludes with a comprehensive assessment of the usability and security functions and

关键词： ability implemented increased intelligent opposition

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Combination of vermicompost fertilizer, carbon, nitrogen and phosphorus on cell characteristics, growth and quality of agar Seaweed Gracilaria verrucosa

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Nature Environment and Pollution technology 2016年第4期15卷 1153-1160页

作者： Rahim, Andi Rahmad Herawati, Endang Yuli Nursyam, Happy Hariati, Anik Martinah Doctoral Program Faculty of Fisheries and Marine Sciences University of Brawijaya Malang East Java65145 Indonesia Department of Aquatic Resources Management Faculty of Fisheries and Marine Sciences University of Brawijaya Malang East Java65145 Indonesia Department of Fishery Product Technology Faculty of Fisheries and Marine Sciences University of Brawijaya Malang East Java65145 Indonesia Laboratory of Fish Nutrition Faculty of Fisheries and Marine Sciences University of Brawijaya Malang East Java65145 Indonesia

Seaweed is one of the marine and fishery commodities which encounter many problems in spurring growth and obtain high quality of agar, especially in Takalar District South Sulawesi Province, Indonesia. The combined use of vermicompost organic fertilizer, carbon, nitrogen and phosphorus are a source of much-needed nutrients by the seaweed to expand the network of cells that affect the growth and quality of agar. The purpose of this study was to see the influence of the combination of vermicompost fertilizer, carbon, nitrogen and phosphorus on the characteristics of the cells, the growth and the quality of agar seaweed G. verrucosa. This study was conducted for 42 days. The treatment ratio of carbon%: nitrogen%: phosphorus% are 93:6:1, 92:7:1, 91:8:1, 90:9:1, 89:9:2 and 88:10:2. Treatment ratio of fertilizer was best obtained at treatment 91:8:1, the cell number 39-104 mm-2, cell size from 25.189 to 400.213 1/4m, cell shape oval and cell wall thickness, weight biomass 0.65 to 2.14 g, the daily specific growth from 2.29 to 7.99%, thallus length from 2.5 to 3.8 cm, quality of agar from 9.98 to 26.52%, quality of agar viscosity of 43-90 cps, quality of agar gel strength of 49.0 to 80.4 g/cm2. The range of water quality during the study was 25-26°C for the temperature, water salinity was 25 ppt, pH 7.50 to 7.87, carbon 734.51 to 4754.12 ppm, nitrogen from 14.91 to 98.91 ppm, and phosphorus of water from 19.84 to 38.39 ppm.

关键词： Carbon

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Exploring Regression and Classification in Big Data with Deep Learning

Exploring Regression and Classification in Big Data with Dee...

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International Conference on Power Energy, Environment and Intelligent Control (PEEIC)

作者： Ravindra Pandey Aruna Sri Rongali S. Gopinath Nilesh Anute Forda Nama Sachin Pund Department - Management Hult International Business School Doctoral Information Technology/Information Technology Emphasis/Information Technology University of The Cumberlands US Department of Electronics And Communication Engineering Karpagam Institute of Technology Coimbatore Management ASM's Institute of Business Management and Research Pune Department of Informatics Doctoral Program of Environtmental Science University of Lampung Bandar Lampung Department of Industrial Engineering Shri Ramdeobaba College of Engineering and Management Nagpur Maharashtra India

Deep gaining knowledge is a synthetic intelligence approach used to recognize complex facts. It uses many facts to recognize the complicated relationships between various factors. With deep learning, models can be built which might be capable of understanding the complicated patterns within big datasets. In this paper, we can explore using deep mastering in regression and type tasks on large datasets. In particular, we can use deep learning strategies to build a regression model that predicts a target value primarily based on the functions in a massive dataset and a classification version that can classify an object into one of the many classes of an extensive dataset. We can then discuss the overall performance of the fashions in comparison to standard models and talk about capability areas for development. Moreover, we will analyze the scalability of deep mastering strategies used on large datasets and discuss exceptional practices for building deep mastering fashions on massive datasets. Finally, we will summarize our findings and offer our conclusions approximately the use of deep studying in regression and type obligations on large datasets.

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Purchasing Intention of Tour Package Brands in Access to Digital technology and User Generated Content on Bali Travel Tour

Purchasing Intention of Tour Package Brands in Access to Dig...

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IEEE International Symposium on Consumer Electronics (ISCE)

作者： Ngr. Putu Raka Novandra Asta Erma Suryani Raden Venantius Hari Ginardi Doctoral Program in Technology Management Interdisciplinary School of Management Technology Institut Teknologi Sepuluh Nopember Surabaya Surabaya Indonesia Politeknik NegeriBali Bali Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Surabaya Indonesia

ISBN: (数字)9798350365191

ISBN: (纸本)9798350365207

Digital technology is currently a vital medium to influence consumers with diverse behaviours and a high level of sensitivity when purchasing goods and services. The purpose of this study is to analyse the impact of exposure to digital technology and user-generated content on the brand purchase intention of travel packages in the Bali tourism sector. As digital technology changes the way we communicate or convey information to attract consumers, one of the methods used to attract consumers is user-generated content (UGC) to create a more intimate engagement between products, services, and consumers. A total of 200 tourists who bought tour packages were used as respondents using accidental sampling. The results of the study explain that digital technology and user integration center have a significant influence on brand purchase intention, and brand exposure and brand familiarity have a considerable positive influence on brand purchase intention. A different influence is found: brand knowledge and attitude have a negative impact on brand purchase intention. The results of this study can enrich knowledge about the currently developing topic of e-marketing aimed at academics. From a practical perspective, this research can provide marketers with insight into the effectiveness of content as an advertising platform in the travel and tourism industry.

关键词： Sensitivity Consumer behavior Brand management User-generated content Tourism industry Companies Media Sustainable development Advertising

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Land use classification based on object and pixel using Landsat 8 OLI in Kendari City, Southeast Sulawesi Province, Indonesia 5

Land use classification based on object and pixel using Land...

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5th International Symposium on LAPAN-IPB Satellite for Food Security and Environmental Monitoring 2018, LISAT-FSEM 2018

作者： Ramadhan Kete, Surya Cipta Suprihatin Tarigan, Suria Darma Effendi, Hefni Doctoral Program in Natural Resources and Environmental Management Bogor Agricultural University Bogor Indonesia Department of Environmental Science Faculty of Forestry and Environmental Science Halu Oleo University Kendari Indonesia Department of Agricultural Industry Technology Bogor Agricultural University Bogor Indonesia Department of Soil and Natural Resource Management Bogor Agricultural University Bogor Indonesia Environmental Research Center Bogor Agricultural University Bogor Indonesia

Current development on method and technique for data processing in remote sensing has received a great importance, since it provides a base for a myriad of applications, including land use monitoring. OBIA- and pixel-based approach are commonly used as classification technique in remote sensing. This present work aimed to compare both approaches in classifying the land use in Kendari, Southeast Sulawesi Province, using Landsat 8 OLI (Operational Land Imager). Digital images were processed using both techniques with the use of support vector machine (SVM) algorithm. The 188 sampling spots in the study site were randomly determined, then classified into 5 groups of land use: water body, follow land, built up land, residential area, and vegetation. Data obtained were then validated according to data from google earth and ground check. The accuracy was assessed by confusion matrix method using Region of Interest (ROI). The results showed that OBIA-based classification coupled with SVM algorithm showed overall accuracy of 81.38%, Kappa coefficient of 78.77%, in which the accuracy was 9.57% higher than pixel-based classification. Based on this finding, OBIA was reported to produce a better performance in identifying land use in urban area. © Published under licence by IOP Publishing Ltd.

关键词： Land use

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Risk Assessment in Sustainability and Performance of Companies in the Electricity Sector: Application of Hybrid E-Ml-Drsa Model

SSRN

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SSRN 2024年

作者： do Couto, Ayrton Benedito Gaia Rangel, Luís Alberto Duncan Gomes, Luiz Flavio Autran Monteiro Fluminense Federal University – UFF School of Engineering Technology and Business Management Laboratory Doctoral Program in Sustainable Management Systems RJ Niterói Brazil Federal University of ABC SP Santo André Brazil

The UN 2030 Agenda for Sustainable Development has established commitments among Member States. These commitments are present in 17 Sustainable Development Goals (SDGs) and 169 global action targets to be achieved up to 2030. Social inclusion, environmental sustainability and good governance are among these commitments, which make them impact the business sector, such as water consumption and women’s participation in the workforce and leadership positions. The present study proposes a hybrid ensemble-Machine Learning-Dominance-based Rough Set Approach (E-ML-DRSA) model in the assessment of risks in sustainability and performance of electric power distribution companies in Brazil. The study uses 62 indicators of sustainability and performance, considering the period of eight years. The proposed hybrid model enables a more effective risk management of companies with basis on previous and simulated data, higher performance classification algorithms (accuracy and sensitivity) and conditional risk matrix. © 2024, The Authors. All rights reserved.

关键词： Sustainable development

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Promoting the Application of Lean Automation - Take the Automobile Oil Seal Manufacturing Industry as an Example

Promoting the Application of Lean Automation - Take the Auto...

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IEEE Eurasia Conference on IOT, Communication and Engineering (ECICE)

作者： An-Yuan Chang Po-Yen Lai Department of Industrial Management National Formosa University Yunlin Taiwan Department of Smart Industry Technology R&D Doctoral Program National Formosa University Yunlin Taiwan

ISBN: (纸本)9781665482097

With increasingly sophisticated global manufacturing technology and fierce competition in the international market, the automobile manufacturing industry has entered the stage of internationalization. Therefore, it is necessary to innovate and change, improve production technology continuously, strengthen physical fitness, and maintain competitiveness to survive in the rapidly changing market. Lean management (LM) and automation equipment are important methods to achieve the above goals. Among them, the use of Automated Guided Vehicles (AGV) has become a crucial equipment in the industry that many manufacturers have widely used. AGVs are unmanned vehicles that can travel according to a program or a predetermined path. AGVs can replace the original logistics, shortens the handling time greatly, and enhances the competitiveness of *** research focuses on the introduction of LM in an automobile oil seal manufacturing industry in Taiwan and focuses on improving logistics efficiency. It uses Value Stream Mapping (VSM) to discuss the logistics problems existing on the production line and proposes specific improvement plans. This study aims to improve logistics efficiency using AGVs and logistics improvement based on its cooperation with Jidoka. This study proposes a new route transportation method, which uses multiple AGVs to perform transportation tasks at the same time, combined with Karakuri’s base-running path transportation mode of multi-functional *** results include (1) proposing a new route transportation method, AGVs combined with Karakuri’s running route transportation mode; (2) saving two full-time logistics manpower; and (3) increasing the Cycle Time (CT) to within 5 minutes.

关键词： Manufacturing industries Automation Remotely guided vehicles Oils Transportation Seals Production

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Integrating System Dynamics and Random Forest Algorithm for Sales Forecasting

Integrating System Dynamics and Random Forest Algorithm for ...

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IEEE International Symposium on Consumer Electronics (ISCE)

作者： Natalia Magdalena Rafu Mamulak Erma Suryani Jerry Dwi Trijoyo Purnomo Doctoral Program in Technology Management Interdisciplinary School of Management and Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia Department of Statistics Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (数字)9798350365191

ISBN: (纸本)9798350365207

This study proposes an approach to improve sales forecasting accuracy by integrating System Dynamics (SD) modeling with the Random Forest (RF) algorithm. The combination of these two methods offers a promising way to make sales predictions more reliable, especially in uncertain market conditions. Using SD principles within the RF algorithm helps us simulate expected sales growth, gain insights into market dynamics, and make our forecasting model more understandable to stakeholders. This study using synthetic sales data shows that the integrated approach is offered as an open idea and customizable, particularly in scenarios with dynamic growth patterns and feedback effects.

关键词： Radio frequency System dynamics Heuristic algorithms Predictive models Prediction algorithms Market research Stakeholders Reliability Forecasting Random forests

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A preliminary study on design and development of template-based for license plate recognition system applying artificial coordinates auxiliary techniques

A preliminary study on design and development of template-ba...

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IEEE International Conference on Industrial Engineering and Engineering management, IEEM2010

作者： Shih, Bih-Yaw Chen, Chen-Yuan Kuo, Jin-Wei Chen, Po-Wei Chen, Tsung-Hao Chen, Chen-Wu Chung, Pei-Yin Lee, Wan-I Department of Computer Science National Pingtung University of Education No. 4-18 Ming Shen Rd. Pingtung 90003 Taiwan Doctoral Program in Management National Kaohsiung First University of Science and Technology Kaohsiung Taiwan Departments of Business Administration Shu-Te University Yen Chau Kaohsiung 82445 Taiwan Institute of Maritime Information and Technology National Kaohsiung Marine University Taiwan Department of Information Management Meiho University 23 Pingguang Rd. Neipu Pingtung Taiwan Marketing and Distribution Management National Kaohsiung First University of Science and Technology 2 Jhuoyue Rd. Nanzih Kaohsiung 811 Taiwan

ISBN: (纸本)9781424485031

With the rapid improvement of technology and economy, the percentage of transportation, like automobile, gradually increases. However, the number of cars increases, the methods of management stretches lots of problems, such as parking, traffic and thievery. Hence, Intelligent Transportation System (ITS) have been emphasized step by step and set up one after another around the world. In addition, ITS also established in Taiwan on July 20, 1998. ©2010 IEEE.

关键词： Template matching

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