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Techno-economic analysis of advanced ku-band high throughput satellite to fulfill broadband access needs of Indonesian Government

Techno-economic analysis of advanced ku-band high throughput...

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2021 IEEE Technology and engineering Management Conference - Europe, TEMSCON-EUR 2021

作者： Kristiadi, Ignatius Daru Nashiruddin, Muhammad Imam Sudjai, Miftadi Telkom University Graduate Program of Regulation and Management of Telecommunication School of Electrical Engineering Bandung Indonesia School of Electrical Engineering Bandung Indonesia Telkom University Bandung Indonesia

ISBN: (纸本)9781665440912

Indonesia, a maritime country and one of the biggest archipelagic countries globally, has complex issues regarding the distribution of broadband access throughout their regions. On the other hand, Indonesia's broadband needs are growing rapidly in this digital era, no exception for the Indonesian government. The High Throughput Satellite (HTS) can be the best solution to overcome the inequality of network connectivity distribution across Indonesia. This paper discussed the techno-economic analysis of advanced HTS for Indonesian Government multifunctional services. The objective is to give an overview concerning the potential investment of advanced HTS with specifications in the Ku-Band frequency spectrum from a techno-economic perspective for the Indonesian government. The result shows that the possible capacity generated by Kuband HTS is sizeable, around 35.51 - 319.26 Gbps. Thus, it is good technical potential for fulfilling the Indonesian government's enormous capacity demand for broadband access. Then, from an economic aspect the NPV of the investment is 32.2 million USD, IRR shows 15.71% greater than MARR of 15%. Then, the payback period reached by this project is estimated 8 years 6 months with the profitability index of this project is 1.03. Therefore, the economic analysis result concludes that it can be categorized as a feasible Indonesia project initiative. © 2021 IEEE.

关键词： Investments

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Co-channel Interference in GSO High Throughput Multi-beam Satellite in Indonesia: Study Link Budget and Capacity Analysis

Co-channel Interference in GSO High Throughput Multi-beam Sa...

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IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)

作者： Vi Bauty Riska Utami Heroe Wijanto Miftadi Sudjai Graduate Program of Regulation and Management of Telecommunication School of Electrical Engineering Telkom University Bandung Indonesia The University Center of Excellence for Intelligent Sensing-IoT School of Electrical Engineering Telkom University Bandung Indonesia Center of Excellence in Biomedical and Healthcare Technology School of Electrical Engineering Telkom University Bandung Indonesia

ISBN: (数字)9798331543105

ISBN: (纸本)9798331543112

Current satellite technology has developed rapidly from traditional satellites to High Throughput Satellite (HTS) because it offers the advantages of multibeam antennas and reuse frequencies. Nevertheless, intersystem interference exists. This study discusses Co-Channel Interference (CCI) in the 4-reuse color scheme on an 8-beam GSO HTS with Ku-band frequencies in Indonesia. The analysis was conducted by analyzing the link budget and capacity before and after interference on the user communication side, forward downlink, and return uplink. The results of the link budget before CCI, Carrier to Noise ratio or C/N on Beam 1 to 8 ranging from 23.34 dB to 23.50 dB. And C/N on the return uplink is 18.74 dB to 19.07 dB. Then after interference, the Carrier to Noise plus Interference Ratio or C/(N+I) on the forward downlink produces 11.96 dB to 12.15 dB. While the return uplink produces C/(N+I) of 13.91 to 14.05 dB for Beam 1 to Beam 8. Because CCI decreases signal quality, the total capacity decreases where the forward downlink before interference produces 8.99 Gbps to 4.74 Gbps. The return uplink capacity of 7.09 Gbps due to interference becomes 5.27 Gbps. The purpose of further research recommendations is to analyze CCI on other reuse color schemes with a more significant number of beams and analyze appropriate mitigation techniques.

关键词： High-temperature superconductors Satellite antennas Satellites Image color analysis Prevention and mitigation Downlink Throughput Ku-band Uplink Interchannel interference

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Churn Prediction in Financial Risk Management using Deep Learning Techniques 2

Churn Prediction in Financial Risk Management using Deep Lea...

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2nd IEEE International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication engineering, ICATIECE 2022

作者： Kumar, V Sunil Sowmyashree, S. Pareek, Piyush Kumar Khanna, Ashish Costa De Albuquerque, Victor Hugo Gupta, Deepak Nitte Meenakshi Institute of Technology Department of Artificial Intelligence & Machine Learning Bengaluru India Computer Science & Engineering East West Institute of Technology Bengaluru India Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Cearά Fortaleza Brazil Maharaja Agrasen Institute of Technology GGSIPU CSE Dept India Federal University of Cearά Department of Teleinformatics Engineering Brazil

ISBN: (纸本)9781665493963

It is essential to develop an efficient Client Relationship Model in order to make use of the estimations about customer turnover (CRM). Finding and breaking down the facts surrounding the business information understanding is necessary for client produce prediction, which should be made possible effectively by altering the strategies used for business insight. The tools that are provided by company insight allow for the historical, current, and prospective perspectives of business activity to be anticipated and dissected. It is possible to deal with it in an efficient way by providing the information mining approaches that choose the data from the created informative index that is the most helpful. Fundamental leadership should be possible to achieve in a fruitful way if one has this information. The actions that consumers have taken in the recent past are going to be analyzed, and an accurate forecast is going to be formed about those customers who are likely going to get unhappy in the near future based on the results of that prediction. The problem is that deciding on a certain period to investigate the client's activities and also establishing on a specific day and age for each of the clients won't be appropriate6. This is due to the fact that the problem is caused by the fact that deciding on a certain period to investigate the client's activities will take too long. The challenge lies just in this aspect. How to decide on a certain amount of time to spend researching the activities of the customer. For instance, when planning a model, 100 customers are used, 70 of those customers are considered 'active,' which indicates that they are still conducting business with the organisation, and the remaining 30 customers are considered 'agitate,' which indicates that they have severed their ties with the organisation. The primary purpose of the work that has been suggested is to carry out exploratory research and management as a multicriteria basic leadership issue, a

关键词： Forecasting

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Detection of Leukemia from Histopathological Image using Deep Learning Techniques 2

Detection of Leukemia from Histopathological Image using Dee...

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2nd IEEE International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication engineering, ICATIECE 2022

作者： Kumar, V Sunil Renukadevi, S. Pareek, Piyush Kumar De Albuquerque, Victor Hugo Costa Gupta, Deepak Khanna, Ashish Nitte Meenakshi Institute of Technology Department Artificial Intelligence and Machine Learning Bengaluru India Dayananda Sagar College of Engineering Department of Artificial Intelligence and Machine Learning Bengaluru India Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Ceará Fortaleza Brazil Federal University of Ceará Department of Teleinformatics Engineering Brazil Maharaja Agrasen Institute of Technology GGSIPU CSE Dept India

ISBN: (纸本)9781665493963

Leukemia is a kind of cancer that is brought on by abnormalities in the body's white blood cells. An inspection of a blood smear that has been collected from the peripheral blood and then seen under a microscope is the method that is considered to be the gold standard for diagnosing leukemia. Techniques such as counting the cells in the blood and doing morphological analysis are two examples of methods that may be used to identify and diagnose leukemia. It is necessary to carefully examine a stained blood smear or an aspiration of bone marrow in order to correctly detect and diagnose leukemia. Both of these procedures involve the removal of bone marrow. This requires prior training and specialized expertise on the subject matter. A tedious and time-consuming operation, the manual evaluation of microscopic pictures of blood samples is one of the steps in the diagnostic procedure. The results are highly dependent on the degree of knowledge and experience that the laboratory worker has. Pathologists are often burdened with an excessive quantity of such data that has to be properly evaluated in order to arrive at a decision. This may be a time-consuming and difficult process. Red blood cells, white blood cells, and blood platelets are the three primary cell types that make up human blood. Platelets are also present in blood. Erythrocyte disease might refer to a collection of diseases that have an effect on hemoglobin. Hemoglobin is a protein found in red blood cells that is responsible for transporting oxygen to cells located throughout the body. This condition is referred to as sickle cell anemia. In sickle cell anemia, the blood contains abnormal hemoglobin molecules known as hemoglobin S. These molecules distort the structure of red blood cells, causing them to take on the form of a crescent or a reaping hook. There is a genetic form of anemia known as sickle cell anemia. This kind of anemia is caused by defective hemoglobin, which causes red blood cells to take on t

关键词： Hemoglobin

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Gradient Boosting Model for Water Quality Forecasting

Gradient Boosting Model for Water Quality Forecasting

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International Conference on Data Analytics and Management, ICDAM 2023

作者： Panda, Parnani Banerjee, Sushovan Mishra, Sushruta Shashidhar, Chitra de Albuquerque, Victor Hugo C. Reis, Marcello Singh, Pooja Kalinga Institute of Industrial Technology Deemed to Be University Bhubaneswar India Department of Commerce and Management Seshadripuram College Bengaluru560020 India Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Ceará Fortaleza Brazil Federal University of Ceará Ceará Brazil Fort Lauderdale United States Lead of the Biomedical Data Analytics Research Group Bengaluru India Federal Institute of Ceará Ceará Brazil Meteora Consultoria Fortaleza Brazil Galgotias University Uttar Pradesh Greater Noida India

ISBN: (纸本)9789819965465

The aim of our study is to evaluate the quality of water using machine learning methods. Potability is a subjective word that quantifies water quality. In this research, a variety of metrics were used to measure general potability of the water. The prescribed elements are applied like variable matrix to denote water quality. The article used three different classification methods, with success rates ranging from 84.27 to 93.16%, to predict the water quality class including ensemble approach like Random Forest (RFC), SVM for classification (SVC), as well as XGBoost. The Gradient Boosting approach, out of all the ones used, received the greatest accuracy (93.16%), precision (96.3%), recall (92.76%) and F-score (94.54%). Also, it achieved the least computational delay with a mean latency of 1.34 s. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Water quality

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Multimodal Sentiment Analysis using Kernel Based Support Vector Machine 2

Multimodal Sentiment Analysis using Kernel Based Support Vec...

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2nd IEEE International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication engineering, ICATIECE 2022

作者： Kumar, V Sunil Pareek, Piyush Kumar De Albuquerque, Victor Hugo Costa Khanna, Ashish Gupta, Deepak Madhumala, R.B. Nitte Meenakshi Institute of Technology Department Artificial Intelligence and Machine Learning Bengaluru India Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Ceará Fortaleza Brazil Federal University of Ceará Department of Teleinformatics Engineering Brazil Maharaja Agrasen Institute of Technology GGSIPU CSE Dept India Dayananda Sagar Academy of Technology and Management Department of ISE Bangalore India

ISBN: (纸本)9781665493963

There has been a steady expansion in the number of social websites, electronic media outlets, and blogging services, all of which contribute a large number of user messages such as comments, reviews, and opinions from customers. The quantity of these signals, which are used to evaluate the quality of a wide variety of goods and services, is rather substantial. As a result, it is challenging to monitor and identify the feelings of customers. As a result, a method known as Sentiment Analysis (SA), also known as Opinion Mining (OM), was developed. This method gathers data from the internet by using Natural Language Processing (NLP) strategies and then analyses people's thoughts. It does this by extracting subjective information from the words, assessing opinions, and quantifying positive and negative evaluations. The end result is a conclusion about the specific entity, which may be an organisation, the public, or a product. The NLP first gathers the views, and then those opinions are sorted into positive, neutral, and negative categories. Both the marketing promotion and the customer's ability to choose the most appropriate product for their needs may be improved by doing an analysis. The purpose of this study is to evaluate the use of different machine learning and swarm intelligence optimization methods to perform sentiment analysis on data derived from movie reviews. This study helps many businesses increase their profits while simultaneously lowering the number of problems caused by a certain product. Within the scope of this investigation, three distinct models of sentiment analysis were investigated. An effective method for doing sentiment analysis known as a Hybrid Kernel based Support Vector Machine (HKSVM) has been presented. The preprocessing that is described here is meant to cut down on the data inconsistencies and get rid of the data that isn't needed. After that, the Expectation Maximization (EM) technique is used in order to identify an outlier. After t

关键词： Sentiment analysis

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Pushing the LTE Capability towards 5G: The Analysis of Licensed Assisted Access (LAA) Implementation for High-Density Area in Indonesia 12

Pushing the LTE Capability towards 5G: The Analysis of Licen...

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12th International Conference on Information Technology and Electrical engineering, ICITEE 2020

作者： Ksamawati, Ni Made Dwidhyana Gunawan, Dadang Nashiruddin, Muhammad Imam University of Indonesia Graduate Program of Telecommunication Management Dept. of Electrical Engineering Jakarta Indonesia Telkom University Center for Regulation Management of Telecommunication School of Electrical Engineering Bandung Indonesia

ISBN: (数字)9781728110974

ISBN: (纸本)9781728110974

The number of mobile network subscribers has increased over the past few years rapidly. 4G LTE, as a part of wireless technology, made a significant contribution through the coverage expansion around countries but still faces critical issues, namely spectrum scarcity. However, the growth of data users and data consumption seems to be increased. The Mobile Network Operator (MNO) tried to provide the infrastructures and services that capable of responding to the necessity of capacity, reliability, and availability. 3GPP answered the opportunity by introducing the LTE-Advanced Pro (4.9 G) technology with 3GPP Rel-13 that called Licensed Assisted Access (LAA). LAA uses carrier aggregation technology, both licensed and 5 GHz unlicensed band. Through utilizing the unlicensed band, MNO tried to face the necessity of improvement with the cost-efficiency. This paper tries to introduce the LAA implementation in a dense urban area of Indonesia. Based on the calculation result of capacity and coverage planning in Jakarta, LAA will increase the capacity from 41.95% to 61.67% in the time period 2020-2030 based on existing LTE capacity. Besides capacity planning, the coverage planning resulted in the amount of required LAA site to covered 40 Points of Interest (POI) area by 72 outdoor LAA and 119 indoor LAA. According to business feasibility analysis for economic aspects, LAA business implementation in the dense urban area is categorized as feasible with positive NPV value at IDR 390,653,517,937;IRR > rate at 40.61%, and three years and three months payback period (PP) on the baseline scenario. © 2020 IEEE.

关键词： Wireless networks

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Ant Colony Optimization based Medical Image Preservation and Segmentation 2

Ant Colony Optimization based Medical Image Preservation and...

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2nd IEEE International Conference on Advanced Technologies in Intelligent Control, Environment, Computing and Communication engineering, ICATIECE 2022

作者： Nandihal, Priya Pareek, Piyush Kumar De Albuquerque, Victor Hugo Costa Madhumala, R.B. Khanna, Ashish Sunil Kumar, V. Dayananda Sagar Academy of Technology and Management Dept of Computer Science and Design Bangalore India Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Ceara Fortaleza Brazil Federal University of Ceara Department of Teleinformatics Engineering Brazil Maharaja Agrasen Institute of Technology GGSIPU CSE Dept India Nitte Meenakshi Institute of Technology Department of Artificial Intelligence & Machine Learning Bengaluru India

ISBN: (纸本)9781665493963

Image segmentation is an essential component in many different types of computer vision systems. Image segmentation is used in order to identify objects and boundaries within pictures. It is important to note that the success of recognition algorithms is heavily dependent on the quality of the picture segmentation, and there is yet no technique that can universally segment images. Boundary detection has a long history of being recognised as one of the most difficult challenges in the fields of image processing and pattern analysis, in particular, when it comes to applications in medical imaging. The clarity of the picture is being muddled by more information, which is the source of the problem's complexity. The creation of segmentation algorithms for medical pictures is an active field of study, and segmentation algorithms are meant to account for a variety of factors, including noise, intensity inhomogeneity, poor contrast between the lesion and the surrounding skin, and so on. There is currently no active contour model that combines the locally statistical property of being more noise-resistant, in which the intensities in the transformed domain have less overlapping in the statistics, and the locally image fitting property of extracting the local image information in order to be able to segment images with intensity inhomogeneity. This is because there is no such model. So the proposed work includes Ant colony optimization based double threshold segmentation in medical images. Performance of the proposed algorithm is more efficient, reliable and accurate than the existing algorithm. Performance parameters such as segmentation accuracy, error rate, and Dice co-efficient are used in order to conduct the evaluation of the proposed work. © 2022 IEEE.

关键词： Impulse noise

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An Adaptive Oscillators-Based Approach to Achieve Transparent Control of a Six DoF Lower-Limb Exoskeleton

An Adaptive Oscillators-Based Approach to Achieve Transparen...

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IEEE/ASME International Conference on Mechtronic and Embedded Systems and Applications, MESA

作者： Rafhael Milanezi de Andrade Benito Lorenzo Pugliese Abolfazl Mohebbi Paolo Bonato Graduate Program of Mechanical Engineering Universidade Federal do Espírito Santo Vitória ES Brazil Department of Electronics and Telecommunication Politecnico di Torino Turin Italy Department of Mechanical Engineering Polytechnique Montreal Montreal Canada Department of Physical Medicine & Rehabilitation Harvard Medical School Spaulding Rehabilitation Hospital Boston MA USA

ISBN: (数字)9798331516239

ISBN: (纸本)9798331516246

Lower-limb exoskeletons have been effectively used in rehabilitation to reduce gait impairments. However, making the exoskeleton transparent to provide suitable net interaction torques and assist patient’s movements is yet an open challenge. In this study, we designed a torque control method based on adaptive oscillators (AOs) to reduce interaction forces with a six degree-of-freedom exoskeleton, named the ExoRoboWalker. A synchronization layer was designed with a pool of AOs to estimate user’s gait phase, and a baseline torque controller was introduced to generate a torque profile based on user-robot interaction during the previous gait cycles. A zero-torque controller was used in parallel to the main torque controller with the objective of improving users’ control of the system and their balance. The proposed controller was experimentally evaluated in six healthy subjects who walked with the exoskeleton for 200 gait strides at different walking speeds. A transparent controller we previously implemented based on a zero-impedance model was also evaluated and results were compared with the new controller. The controller based on AOs was able to reduce the average interaction torques by 40% at the highest gait speed of 0.8 m/s relative to the zero-impedance controller we previously implemented.

关键词： Knee Ankle Torque Exoskeletons Torque control Control systems Stability analysis Synchronization Hip Standards

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RLS-based Interference Cancellation 17

RLS-based Interference Cancellation

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17th International Conference on Electrical engineering/Electronics, Computer, telecommunications and Information Technology, ECTI-CON 2020

作者： Punchalard, Rachu Thitinauremit, Aphirak Mahanakorn University of Technology Department of Telecommunication Engineering Bangkok10530 Thailand Mahanakorn University of Technology Electrical Engineering Graduate Program Faculty of Engineering Bangkok Thailand

ISBN: (纸本)9781728164861

Adaptive Sinusoidal interference cancellation (ASIC) based on recursive least square (RLS) algorithm is proposed. RLS algorithm allows us to use a recursion instead of inversion of the autocorrelation matrix to evaluate the optimum weights. The main advantage of RLS algorithm is that it exhibits extremely high rate of convergence. Computer simulations are performed to demonstrate the performance of the proposed algorithm. © 2020 IEEE.

关键词： Adaptive algorithms

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