JOIV : International Journal on Informatics Visualization
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Hand Gesture Recognition Based on Continuous Wave (CW) Radar Using Principal Component Analysis (PCA) and K-Nearest Neighbor (KNN) Methods
Get PDFHuman-computer interaction (HCI) is a field of study studying how people and computers interact. One of the most critical branches of HCI is hand gesture recognition, with most research concentrating on a single direction. A slight change in the angle of hand gestures might cause the motion to be misclassified, thereby degrading the performance of hand gesture detection. Therefore, to improve the accuracy of hand gesture detection, this paper focuses on analyzing hand gestures based on the reflected signals from two directions, which are front and side views. The radar system employed in this paper is equipped with two sets of 24 GHz continuous wave (CW) monostatic radar sensors with a sampling rate of 44.1 kHz. Four different hand gestures, namely close hand, open hand, OK sign, and pointing down, are collected using SignalViewer software. The data is stored as a waveform audio file format (WAV) where one data consists of 20 segments, and the data is then examined by using MATLAB software to be segmented. To evaluate the effectiveness of the classification system, principal component analysis (PCA) and k-nearest neighbor (KNN) are integrated. The PCA findings are depicted in Pareto and 2-D scatter plot for both radar directions. The Leave-One-Out (LOO) method is then used in this analysis to verify the accuracy of the classification method, which is represented in the confusion matrix. At the end of the analysis, the classification results indicated that both angles achieved near-perfect accuracy for most hand gestures
Classification of Diabetic Retinopathy Disease Using Convolutional Neural Network
Get PDFDiabetic Retinopathy (DR) is a disease that causes visual impairment and blindness in patients with it. Diabetic Retinopathy disease appears characterized by a condition of swelling and leakage in the blood vessels located at the back of the retina of the eye. Early detection through the retinal fundus image of the eye could take time and requires an experienced ophthalmologist. This study proposed a deep learning method, the Efficientnet-b7 model to identify diabetic retinopathy disease automatically. This study applies three preprocessing techniques that could be implemented in the dataset "APTOS 2019 Blindness Detection". In preprocessing technique trial scenarios, Usuyama preprocessing technique obtained the best results with accuracy of 89% of train data and 84% in test data compared to Harikrishnan preprocessing technique which has 82% accuracy in test data, and Ben Graham preprocessing has 81% accuracy in test data. In this study, Hyperparameter tuning was conducted to find the best parameters for use on the EfficientNet-B7 Model. In this study, we tested the Efficientnet-B7 model with an augmentation process that can reduce the occurrence of overfitting compared to models without augmentation. Preprocessing techniques and augmentation techniques can influence the proposed EfficientNet-B7 model in terms of performance results and reduce the overfitting of models
Intelligent Warehouse Picking Improvement Model for e-Logistics Warehouse Using Single Picker Routing Problem and Wave Picking
Get PDFAbstract— The development and use of technological innovations have changed people's behavior from an industrial society to an information society. It can be seen in the increase in people's consumption patterns from trading through physical stores (offline) to trading through electronic systems, often referred to as e-commerce. Logistics services are distribution actors in the downstream line which are tasked with delivering products from the fulfillment center from e-commerce to the end customer. The uncertainty of the number of requests is the biggest challenge for logistics service players. The growth of e-commerce has also led to an increase in sales volume in e-commerce which has given rise to a new generation of warehouses that are specifically tailored to the special needs of online retailers who directly serve the demands of end-customers in the business-to-consumer (B2C) segment. Traditional warehousing systems cannot handle orders with the characteristics of many transactions but smaller sizes. In addition, warehouses that handle e-commerce are also required to have a fast process in the warehouse because shipments must be made on the same day. In this study, the author aims to perform calculations to find the optimal order picking time in the warehouse, so orders in e-commerce can be processed faster by comparing the picking process time using ordinary Single Picker Routing Problem (SPRP) and combined with the concept of wave picking using Genetic Algorithm (GA). Based on a theoretical study in this paper, the combination between SPRP and wave picking can reduce 42.28% picking time.Â
Study the Field of View Influence on the Monchromatic and Polychromatic Image Quality of a Human Eye
Get PDFIn this paper, the effect of the eye field of view (known as F.O.V.) on the performance and quality of the image of the human eye is studied, analyzed, and presented in detail. The image quality of the retinal is numerically analyzed using the eye model of Liou and Brennan with this polymer contact lens. The image, which is in digital form were collected from various sources such as from photos, text structure, manuscripts, and graphics. These images were obtained from scanned documents or from a scene. The color fringing which is chromatic aberration addition to polychromatic effect was studied and analyzed. The Point Spreads Function or (known as PSF) as well as The Modulation Transfers Function (known as MTF) were measured as the most appropriate measure of image quality. The calculations of the image quality were made by using Zemax software. Then, the result of the calculation demonstrates the value of correcting the chromatic aberration. The results presented in this paper had shown that the form of image is so precise to the eye (F.O.V.). The image quality is degraded as (F.O.V.) increase due to the increment in spherical aberration and distortion aberration respectively. In conclusion, then Zemax software that was used in this study assist the researcher potential to design human eye and correct the aberration by using external optics
Exploring Extended Configuration of Digital Eco-Dynamic Influence on Small E-Business' Product Innovation
Get PDFThis study comprehensively explores the factors affecting product innovation performance in small e-businesses. The effects of the broader composition of digital eco-dynamics on the performance of product innovation of small businesses are little understood. This study tries to fill in the gaps and investigate the interdependencies above. This study offers the novelty of using RICH as a construct that can improve innovation performance, expanding on a digital eco-dynamic that has not been developed for ten years. Confirmatory factor analysis, descriptive statistics, construct reliability, average variance extracted, and the RMSEA model of fit test was used to analyze data from 300 useable responses. The test reliability and validity of the empirical model were evaluated through linguist reviews and statistically tested with construct reliability coefficients and confirmatory factor analysis. The findings also suggest that IT capability, dynamic capability, environmental uncertainty, and resource induce coping heuristics positively impact product innovation performance in small e-businesses. This research will contribute to developing innovation theory by offering RICH as a solution. The finding that RICH is positively and significantly related to innovation performance is significant for business actors, mainly because it is in the context of developing countries. For entrepreneurs, the findings of this study suggest that developing resources in a manner consistent with the RICH strategy for companies to be more entrepreneurially oriented. In this way, the development and actualization of cognitive resources can reduce uncertainty and lead to resource acquisition and resource protection by entrepreneur
Social Media Content and Data Analysis of Audience Engagement in the Tour and Travel Industry
Get PDFSocial media has become the most popular area where the primary users are the youth generation. Social media marketing has become the best promotion for many companies regardless of the private or public sector, medium or large companies, including Tour and Travel companies. The companies must survive this pandemic by using social media technology to promote their services by creating promotional content that can attract customers' attention on social media, which may help to increase company revenue. This study analyzes the engagement and interaction of promotion content in the context of marketing on social media, such as Instagram, during the Covid-19 pandemic. This research underlines the customer perception about tour and travel content on Instagram for the companies and content characteristics to know the best strategy for doing promotional activities on Instagram through the questionnaire as supporting material. This quantitative research method uses data analytics tools and content analysis methods. This study also obtained data from the official website, journals, books, and articles. This research also utilizes surveys as supporting material focusing on the Instagram data analysis using content analysis. The future research is presumed to describe a similar research strategy but investigates other social media platforms. In addition, this research dictated several factors that can affect the level of engagement on Instagram. Hopefully, future research will examine additional factors that can influence a company's marketing to achieve its marketing objectives and implementation over a more extended time
Public Protection and Disaster Relief Planning Using Terrestrial Trunked Radio in West Java
Get PDFThis research aims to implement Public Protection and Disaster Relief (PPDR) planning using Terrestrial Trunked Radio (TETRA) in the West Java area. This plan will work at frequencies 806-821 MHz and 851-866 MHz (bandwidth of 15 MHz). PPDR planning study using TETRA in West Java with a total area of 37,315 Km2. This TETRA planning study uses the simulation method. Simulation using ATOLL software using parameters used by the West Java Regional Police (Polda) because it follows the conditions of the province of West Java. This plan does three things, firstly plans the coverage area to determine the number of base stations by looking for the link power budget and MAPL, followed by finding the cell radius value, secondly planning the network capacity to be used by following the assumptions and predictions of the TETRA mobile station (ms), and the third is planning the frequency spectrum. The three methods are tested and validated using Atoll software simulation. The planning results for the West Java region required 58 sites (base station). The required channels are 94 channels, while from 15 MHz, TETRA digital radio trunking bandwidth provides 600 channels so that TETRA digital trunking radio can be implemented in West Java. In the future, this TETRA radio trunking plan can be implemented in other provinces in Indonesia and even be expanded to all regions in Indonesia to handle disaster
Comparison of Feature Selection Methods for DDoS Attacks on Software Defined Networks using Filter-Based, Wrapper-Based and Embedded-Based
Get PDFThe development of internet technology is growing very rapidly. Moreover, keeping internet users protected from cyberattacks is part of the security challenges. Distributed Denial of Service (DDoS) is a real attack that continues to grow. DDoS attacks have become one of the most difficult attacks to detect and mitigate appropriately. Software Defined Network (SDN) architecture is a novel network management and a new concept of the infrastructure network. A controller is a single point of failure in SDN, which is the most dangerous of various attacks because the attacker can take control of the controller so that it can control all network traffic. Various detection and mitigation methods have been offered, but not many consider the capacity of the SDN controller. In this research, we propose a feature selection method for DDoS attacks. This research aims to select the most important features of DDoS attacks on SDN so that the detection of DDoS on SDN can be lightweight and early. This research uses a dataset [1] generated by a Mininet emulator. The simulation runs for benign TCP, UDP, and ICMP traffic and malicious traffic, which is the collection of TCP SYN attacks, UDP Flood attacks, and ICMP attacks. A total of 23 features are available in the dataset, some are extracted from the switches, and others are calculated. By using three methods, filter-based, wrapper-based, and embedded-based, we get consistent results where the pktcount feature is the highest feature importance of DDoS attacks on SDN
A Microarray Data Pre-processing Method for Cancer Classification
Get PDFThe development of microarray technology has led to significant improvements and research in various fields. With the help of machine learning techniques and statistical methods, it is now possible to organize, analyze, and interpret large amounts of biological data to uncover significant patterns of interest. The exploitation of microarray data is of great challenge for many researchers. Raw gene expression data are usually vulnerable to missing values, noisy data, incomplete data, and inconsistent data. Hence, processing data before being applied for cancer classification is important. In order to extract the biological significance of microarray gene expression data, data pre-processing is a necessary step to obtain valuable information for further analysis and address important hypotheses. This study presents a detailed description of pre-processing data method for cancer classification. The proposed method consists of three phases: data cleaning, transformation, and filtering. The combination of GenePattern software tool and Rstudio was utilized to implement the proposed data pre-processing method. The proposed method was applied to six gene expression datasets: lung cancer dataset, stomach cancer dataset, liver cancer dataset, kidney cancer dataset, thyroid cancer dataset, and breast cancer dataset to demonstrate the feasibility of the proposed method for cancer classification. A comparison has been made to illustrate the differences between the dataset before and after data pre-processing
The Small UWB Monopole Antenna with Stable Omnidirectional Radiation Pattern
Get PDFUltra Wideband (UWB) technology is an unmodulated wireless digital communication system that uses an extremely short duration pulse to transmit information bit. Because of this pulse, the UWB system needs a very wide bandwidth. Federal Communication Commission (FCC) has regulated the 3.1 – 10.6 GHz frequency spectrum for UWB. Since FCC released this frequency, many research in telecommunication have been done on UWB systems. One of them is a development of an Antenna that is suitable for UWB devices. UWB antenna characteristics require FCC band, omnidirectional radiation pattern, and compact size. In order to meet these needs, an antenna with a simple structure in the form of a monopole patch antenna with a similar patch size and ground width has been designed. The antenna is built on an FR4 – epoxy substrate material, with 4.4 dielectric constant and 1.6 mm thickness. The antenna feeding structure consists of two 100 Ω and 50 Ω lines with a wideband impedance matching scheme using tapered side and tapered transformers. The antenna design and optimization processes are conducted using electromagnetic simulation software, and measurements are carried out in an anechoic chamber. Simulation and measurement results show good agreement, and the antenna can work at frequencies 3.5 - 11.3 GHz with a gain of 1.5 – 3.25 dBi and stable omnidirectional radiation patterns. The antenna has dimensions of 27 × 8 × 1.6 mm, which are smaller than the antenna reported in the last research and suitable to be applied on various UWB devices