WebologyPub Date : 2022-01-20DOI: 10.14704/web/v19i1/web19095
Dr. Amina Atiya Dawood, Balasem Alawi Hussain
{"title":"Machine Learning for Single and Complex 3D Head Gestures: Classification in Human-Computer Interaction","authors":"Dr. Amina Atiya Dawood, Balasem Alawi Hussain","doi":"10.14704/web/v19i1/web19095","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19095","url":null,"abstract":"This paper presents a new Hidden Markov Model based approach for fast and automatic detection and classification of head movements in real time dynamic videos. The model has been developed to utilize human-computer interaction applications by using only the laptop webcam. The proposed model has the ability to predict single head and combined simultaneously in fast responses. Other models paid more attention to classify head nod and shake only, but our model contribute the role of other head movements. The model proposed here doesn’t need any user intervention or previous knowledge of its environment. In addition, there is no limitation on illumination changes and occlusions, as well as no restrictions on head movements ranges. The model achieved significant results and efficient performances when tested on unseen data. As the model accuracies were 94%, 99%, 83%, 87%, 93%, 96% for all head gestures (rest, nod, turn, shake, tilt and tilting) respectively. On the other hand, the model accuracy was 99% and 88% for combined and single cues respectively. The aim of this model is to provide a fast application to infer and predict human emotions and affective states in real time through head gestures.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49190598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
WebologyPub Date : 2022-01-20DOI: 10.14704/web/v19i1/web19270
S. I. Orakwue, H. M. Al-Khafaji, Mays Zahid Chabuk
{"title":"IoT Based Smart Monitoring System for Efficient Poultry Farming","authors":"S. I. Orakwue, H. M. Al-Khafaji, Mays Zahid Chabuk","doi":"10.14704/web/v19i1/web19270","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19270","url":null,"abstract":"This paper presents a smart system using Internet of things (IoT) for monitoring and controlling environmental conditions of poultry farming. Environmental parameters such as temperature, humidity, and air quality in a poultry house which are vital for the survival of poultry birds were monitored in order to adequately nurture poultry birds, reduce mortality rate and improve production. The system utilizes ESP32 microcontroller which has embedded Wi-Fi function, DHT11 temperature and humidity sensor, the PIR motion detector sensor, and MQ135 gas detector sensor. In addition, a buzzer was added to alert the farmer in the event of an intruder, while the integrated Wi-Fi unit would send a message to the farmer. Furthermore, the proposed system controls the brightness of a lamp inside the poultry house to either increase or reduce its temperature. This work which is a prototype, was implemented in a small poultry house. All the tests carried out illustrated that the designed system is sufficient and that the aim has been achieved.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49359998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
WebologyPub Date : 2022-01-20DOI: 10.14704/web/v19i1/web19291
Seung-hwan Ju, H. Seo
{"title":"Data Quality Test Method for Factory Energy Management System","authors":"Seung-hwan Ju, H. Seo","doi":"10.14704/web/v19i1/web19291","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19291","url":null,"abstract":"Because data is an important factor in the software industry, how to reliably test data is important. This is even more essential for building Industry 4.0 and smart industrial complexes. This study prepares ISO/IEC 25024-based test methods and guidelines and uses them for energy management at the industrial complex level. In order to provide services by collecting energy data from industrial complexes, it is necessary to verify data quality based on data reliability and compatibility of each plant. Data quality technology needs to conform to ISO TC184/SC4/WG13 (industrial data quality standard) based technology. The study defines the data quality evaluation matrix for the energy management system of industrial parks and factories. It defines five categories and maps detailed indicators to each. The category has three detailed items, which are evaluation items for core requirements, interoperability, and conformity to standards. Each data requirement category covers functionality and reliability, usability and efficiency, and portability as data requirements in the system. Core requirements for system operation such as data consistency are basic evaluation items, and interoperability, which is the semantic compatibility of data for integrated operation of multiple sites, is verified. In addition, data quality is evaluated by verifying standard conformance. Through this evaluation system, the requirements for linking the factory energy management system data with the industrial complex energy management system can be evaluated. This can be used to monitor data quality and develop improvement technologies by developing a master data quality management technology standard suitable for industrial sites.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49603496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
WebologyPub Date : 2022-01-20DOI: 10.14704/web/v19i1/web19042
D. Kulkarni, Dr.S.F. Rodd
{"title":"Word Sense Disambiguation for Lexicon-based Sentiment Analysis in Hindi","authors":"D. Kulkarni, Dr.S.F. Rodd","doi":"10.14704/web/v19i1/web19042","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19042","url":null,"abstract":"The amount of data from users in Hindi language is tremendously increasing on social media, blogs, online forums due to which Sentiment analysis of Indian languages has turned out to be a predominant research area. Lexicon based analysis is one of the techniques that can be used for analyzing sentiments. While using the lexicon-based sentiment analysis, ambiguous words could be an issue. This paper proposes a graph based Lesk approach to handle the word sense disambiguation issue and tries to enhance and improve the lexicon approach. Experiments performed to evaluate the performance of the proposed algorithm shows that the performance of lexicon-based sentiment analysis is increased significantly by using the graph based Lesk approach.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43564532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
WebologyPub Date : 2022-01-20DOI: 10.14704/web/v19i1/web19054
Dhaniya R.D., Dr. Umamaheswari K.M.
{"title":"Brain Tumor Analysis Empowered with Machine Learning and Deep Learning: A Comprehensive Review with its Recent Computational Techniques","authors":"Dhaniya R.D., Dr. Umamaheswari K.M.","doi":"10.14704/web/v19i1/web19054","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19054","url":null,"abstract":"In driving the medical image research machine-learning and deep-learning algorithm are growing expeditiously. The premature conjecture of disease needs substantial attempts to diagnose the disease. The machine learning algorithm confesses the software application to study from the data and predicts more accurate outcome. The deep learning algorithm drives on extensive dataset imparts on high end machine and clarifies the problem end to end. The primary focus on the survey is to high-spots the machine and deep-learning approaches in medical image analysis that endorses the decision-making practices. The paper provides a plan for the researchers to perceive the extant schemes sustained out for medical imaging with its recognition and hindrances of the machine and deep learning algorithm.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45415398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
WebologyPub Date : 2022-01-20DOI: 10.14704/web/v19i1/web19367
Dwi Sudaryati, Surya Raharja
{"title":"Sustainability Reporting by State Universities in Indonesia: An Examination of Influential Characteristics","authors":"Dwi Sudaryati, Surya Raharja","doi":"10.14704/web/v19i1/web19367","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19367","url":null,"abstract":"The aim of this study was to analyze the characteristics of sustainability information of higher education institutions in Indonesia. The population and research sample were all state universities in Indonesia, as many as 125. The method used was logistic regression analysis. The results showed that 29.6% of state universities in Indonesia had disclosed sustainability information and the remaining 70.4% had not disclosed sustainability information. The logistic regression results show that college size has a significant effect on sustainability information disclosure. The bigger the university, the more likely it is that the university will disclose its sustainability information. On the other hand, age and reputation did not significantly influence the disclosure of sustainability information.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45534266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
WebologyPub Date : 2022-01-20DOI: 10.14704/web/v19i1/web19232
Caecilia Berliningrum, I. B. Putrayasa, I. Sudiana, I. Sutama
{"title":"The Use of Various Indonesian and Elements of Code Experts, Code Mixing as a Mean of Communication in University Level: Case Study of Indraprasta University, Jakarta","authors":"Caecilia Berliningrum, I. B. Putrayasa, I. Sudiana, I. Sutama","doi":"10.14704/web/v19i1/web19232","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19232","url":null,"abstract":"Language is always used as a mean of communication among students, lecturers, staff, and structural officials at the Indraprasta University, Jakarta, English Education Department and Mathematics Education Department. The requirement to use Indonesian is not completed maximally due to the influence local and foreign language. As language users among students, lecturers, academic staff and structural officials, they are required to use Indonesian based on its context. The use of language can be seen from the use of standard language indicating good and correct use of Indonesian. The methods of the study were conducted by observation, interviews, and documentation with a sub-focus domain of the various Indonesian use and elements of code experts as well as code mixing as a means of communication. Data were collected by conducting research documents on the use of the Indonesian with a study of language functions and ethnographic methods starting with the selection of a culture. The results of the study show that the use of the formal and informal domain dominate the use of Indonesian. In addition, there is an element of code expert and code mixing both spoken and written at the English Language Education Study Program and Mathematics Education Study Program at Indraprasta University, Jakarta.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46087989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
WebologyPub Date : 2022-01-20DOI: 10.14704/web/v19i1/web19219
Ravindra V. Joshi, H. N.
{"title":"PACS.i - A Complexity Theory based Framework for Battle Management","authors":"Ravindra V. Joshi, H. N.","doi":"10.14704/web/v19i1/web19219","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19219","url":null,"abstract":"A Platform based on Complexity Theory will consist of domain specific framework, dynamics, and systems. PACS.i is a framework through modern combat missions can be conveniently managed. PACS stand for Planner, Analyst, Commander and Soldier. While Planner and Analyst define pre and post battle view, soldier models frog’s view of combat in execution and commander bird’s view of same. These roles should handle Population, Spatial, Temporal and Causal dynamics (with their sub-classes). Also four types of Systems - regular, complex, chaos-based and stochastic can realize these architectures with varied benefits and losses. This paper explores the relation between roles, dynamics, and systems. PACS.i framework is result of synergy between all three of these.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48232010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
WebologyPub Date : 2022-01-20DOI: 10.14704/web/v19i1/web19283
S. Hong, .
{"title":"The Effect of Tax Officials’ Organizational Communication on Job Performance: Focused on the Moderating Effect of Trust","authors":"S. Hong, .","doi":"10.14704/web/v19i1/web19283","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19283","url":null,"abstract":"The purpose of this study is to investigate whether organizational communication factors - top-down, bottom-up, and horizontal communication - affect job performance when tax officials perform their duties, and to empirically analyze their relationship using the moderating variables of trust to see if organizational communication on job performance differs according to trust. The results of the analysis show that factors of organizational communication that have a positive effect on job performance are top-down communication and horizontal communication. Among them, horizontal communication has a greater effect. In addition, the analysis result of interaction effect by moderating regression analysis shows that only horizontal communication x trust has a significant positive effect on job performance except top-down communication and bottom-up communication among organizational communication factors. This means that the more smooth the horizontal communication in the tax organization is, the higher the trust gets. It suggests that, given that related duties in tax affairs are handled jointly and the organizational transactions are done together though the progress of tax affairs is mostly handled individually, horizontal communication has a positive effect on forming a network between colleagues and departments in the organization and on solving problems and conflicts in the work, thereby enhancing the job performance. The suggestions for future research are as follows. First, this study is the result of analyzing tax officials working in Busan, Ulsan and Gyeongnam-do (province), so the number of samples is limited. It is necessary to expand the region and organization because there is a limit to generalizing the results of the study. Second, it is considered that the same method has a problem in that the data were collected using the questionnaire limited to a few items by the self-report questionnaire, so further research that can increase external validity using various data should be conducted.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47358264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
WebologyPub Date : 2022-01-20DOI: 10.14704/web/v19i1/web19302
Jae-Woong Choi, Eui-Rim Jeong
{"title":"Multi-output Convolutional Neural Network Based Distance and Velocity Estimation Technique for Orthogonal Frequency Division Multiplexing Radar Systems","authors":"Jae-Woong Choi, Eui-Rim Jeong","doi":"10.14704/web/v19i1/web19302","DOIUrl":"https://doi.org/10.14704/web/v19i1/web19302","url":null,"abstract":"The objective of this work is to propose a new method of estimating velocity and distance based on multi-output convolutional neural network (CNN) for orthogonal frequency division multiplexing (OFDM) radars. The two-dimensional (2D) periodogram is extracted from the received reflected waveforms through radar signal processing of received OFDM symbols. Conventionally, constant false alarm rate (CFAR) algorithm is used to estimate distance and velocity of targets. In contrast, this paper proposes a novel deep-learning based approach for the estimation of the targets in OFDM radar systems. The proposed multi-output CNN-based target detector estimates the distance and velocity of the target simultaneously. The proposed technique is verified through computer simulation. The results show that the proposed multi-output CNN-based method demonstrates more accurate distance and speed estimates than the conventional CFAR. Specifically, the distance and speed estimates of the proposed method are 9.8 and 12.3 times accurate, respectively, than those of the conventional CFAR.","PeriodicalId":35441,"journal":{"name":"Webology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47696397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}