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The accumulation and analysis of large-scale patient data have led to breakthrough discoveries in potential flags for diseases based on pattern recognition, highlight medication efficacy, and local population health trends that would be impossible with traditional paper-based records. However, these benefits come with unique challenges posed by the application of data sharing for research and…

The cybercriminal utilized the skills and freely available tools to breach the networks of internet-connected devices by exploiting confidentiality, integrity, and availability. Network anomaly detection is crucial for ensuring the security of information resources. Detecting abnormal network behavior poses challenges because of the extensive data, imbalanced attack class nature, and the abundance of features in…

Cybercriminal exploits integrity, confidentiality, and availability of information resources. Cyberattacks are typically invisible to the naked eye, even though they target a wide range of our digital assets, such as internet-connected smart devices, computers, and networking devices. Implementing network anomaly detection proves to be an effective method for identifying these malicious activities. The traditional anomaly…

From amateur players who enjoy sports throughout their lives to top athletes who participate in international competitions, interest in improving sports skills is growing. Coaches and their coaching are indispensable for improving sports skills, but it is difficult for many athletes, especially amateur athletes, to secure coaching. However, we thought that anyone could easily receive…

Hypertensive or high blood pressure is a medical condition that can be driven by several factors. These factors or variables are needed to build a classification model of the hypertension dataset. In the construction of classification models, class imbalance problems are often found due to oversampling. This research aims to obtain the best classification model…

Visualization plays a crucial role in the exploratory analysis of Big Data. The direct visualization of Big Data is a challenging task and difficult to analyze. Dimensionality Reduction techniques extract the features in the context of visualization. Due to the unsupervised and non-parametric nature, most of the dimensionality reduction techniques are not evaluated quantitatively and…

Abstract— The process of mapping large numbers of markers is computationally complex, as the increase of numbers of markers results in an exponential increase in the mapping runtime. Also, having unreliable markers in the dataset adds more complexity to the mapping process. In this research, we have addressed these two issues and proposed our solution.…

A process for the determination of a required spatial resolution in the collection of the Received Signal Level (RSL) is discussed. This method considers RSL measurements as a three dimensional surface that is sampled through the data collection process. In addition, it is difficult to collect RSL measurements for an entire coverage area because of…

This study addresses the need for improved prognostics in switch-mode power supplies (SMPS) that incorporate electromagnetic interference (EMI) filters, with a focus on aluminum electrolytic capacitors, which are critical for the reliability of these systems. The primary aim is to develop a robust model-based approach that can accurately predict the degradation and operational lifetime of…

This research is an extension of the research (ISEEIE 2023), which dealt with Time-Series Clustering (TSC) of Vegetation Index (VI) for paddy rice. The novelty of this research is “Visualization of growth changes before and after additional fertilization,” “Analyzing the appropriate amount of additional fertilizer,” and “Optimization of monitoring period to minimize the number of…

This article presents a roadmap for distribution grid µPMU hardware and software design consideration and implantation to ensure high performance within limited computational time of sampling frequency 512 samples/cycle. A proposed 12 channels, multi-voltage level µPMU hardware and rules of voltage and current transducer, analog filter, analog-to-digital converter, sampling rate definition, and PCB design and…

Dust is ubiquitous in our daily environment—outdoor and indoor. In modern times, people often spend the majority of their time at home, in offices, at work or in schools. Suspended particles such as tiny crumbs up to long fibers generate indoor dust deposits. Inhouse sources are the interior releasing abraded fibers from carpets, bedding and…

The aim of this research was to prove the effect of online learning on interest and motivation to learn and its effect on student achievement in the Educational Technology Study Program – Ibnu Khaldun University, Bogor. This research method uses descriptive analysis and verification with a quantitative approach. The source of this research uses primary…

Data stream gained obvious attention by research for years. Mining this type of data generates special challenges because of their unusual nature. Data streams flows are continuous, infinite and with unbounded size. Because of its accuracy, decision tree is one of the most common methods in classifying data streams. The aim of classification is to…

This paper describes a qualitative research design adopted in this study guided by deployment of a Grounded Theory (GT) methodology which was deployed to synthesize literature on technology adoption and digital transformation with an objective of developing theory. The philosophical worldview adopted was interpretivism/constructivist of a qualitative grounded theory inductive (theory building) approach where secondary…

Modulation type classification is a part of waveform estimation required to employ spectrum sharing scenarios like dynamic spectrum access that allow more efficient spectrum utilization. In this work multiple classification features, feature extraction, and classification algorithms for modulation type classification have been studied and compared in terms of classification speed and accuracy to suggest the…

The study aimed to understand and analyze the technological and innovation performance measures of the Nepalese cellular telecommunications industry from the customers’ perspective. The measures like network service quality, signal strength and coverage, voice quality, and calls drop are used for technological performance, whereas measures like product/service innovation, process innovation, customization, competitive innovation, and marketing…

Online transactions make it easy for people to get products or sell the products through online applications. The success and failure of online sales depends on how satisfied and loyal the customer is to the service of the product or business which can certainly influence and increase competition between the online sales industry. Based on…

Brain tumors are a type of tumor with a high mortality rate. Since multifocal-looking tumors in the brain can resemble multicentric gliomas or gliomatosis, accurate detection of the tumor is required during the treatment process. The similarity of neurological and radiological findings also complicates the classification of these tumors. Fast and accurate classification is important…

Bearings are the key components of many rotating machines, in which serious failure or even major breakdown may occur due to their abnormal operation and defects. Thus, accurate fault diagnoses of bearing elements are essential for proactive predictive maintenance. However, the using of multiple sensors with high sampling rate reveal considerable shortages in the analysis…

Given ubiquitous digital devices with recording capability, distributed microphone arrays are emerging recording tools for hands-free communications and spontaneous tele-conferencings. However, the analysis of signals recorded with diverse sampling rates, time delays, and qualities by distributed microphone arrays is not straightforward and entails important considerations. The crucial challenges include the unknown/changeable geometry of distributed arrays,…

We investigate in this paper many problems related to the decision-making process in the Cognitive Radio (CR), where a Secondary User (SU) tries to maximize its opportunities by finding the most vacant channel. Recently, Multi-Armed Bandit (MAB) problems attracted the attention to help a single SU, in the context of CR, makes an optimal decision…

Over time, several routing protocols have been suggested for use in Mobile Ad Hoc Networks (MANETs). Because of availability of so many MANETs routing protocols, network engineers and administrators face difficulties in identifying an appropriate routing protocol for a particular scenario. This challenge results from the unavailability of adequate technical analytic studies designed to examine…

Concept of university higher education quality is linked to the relevance of an educational project that promotes institutional transformation to improve the comprehensive training of new professionals. In this context, the research objective is to determine the graduates satisfaction level, trained with curricula 1979, 1985 and 1995 who have more than 20 years of graduation…

This work presents a theoretical analysis of the Signal-to-Quantization Noise Ratio (SQNR) of the nonuniform Parallel Digital Ramp Pulse Position Modulator Analog-to-Digital Converter (PDR-ADC) architecture. The PDR-ADC partitions the amplitude axis into P non-overlapping partitions that sample the analog input at input signal driven instances. Samples are generated when the input signal crosses a digital…