Journal of ICT Research and Applications最新文献_第5页

The Use of QLRBP and MLLPQ as Feature Extractors Combined with SVM and kNN Classifiers for Gender Recognition QLRBP和MLLPQ作为特征抽取器与SVM和kNN分类器相结合用于性别识别

IF 0.6

Journal of ICT Research and Applications Pub Date : 2021-12-28 DOI: 10.5614/itbj.ict.res.appl.2021.15.3.4

Septian Abednego, Iwan Setyawan, Gunawan Dewantoro

引用次数: 0

Convolution and Recurrent Hybrid Neural Network for Hevea Yield Prediction 卷积递归混合神经网络在橡胶产量预测中的应用

IF 0.6

Journal of ICT Research and Applications Pub Date : 2021-10-19 DOI: 10.5614/itbj.ict.res.appl.2021.15.2.6

L. Varghese, Vanitha Kandasamy

引用次数: 1

Design and Implementation of Triple Band Half Mode Substrate Integrated Waveguide (HMSIW) Antenna with Compact Size 小型三频半模基片集成波导天线的设计与实现

IF 0.6

Journal of ICT Research and Applications Pub Date : 2021-10-07 DOI: 10.5614/itbj.ict.res.appl.2021.15.2.2

Z. Taha, Hafsa Jassim, Anas A. Ahmed, Ikhlas M. Farhan

{"title":"Design and Implementation of Triple Band Half Mode Substrate Integrated Waveguide (HMSIW) Antenna with Compact Size","authors":"Z. Taha, Hafsa Jassim, Anas A. Ahmed, Ikhlas M. Farhan","doi":"10.5614/itbj.ict.res.appl.2021.15.2.2","DOIUrl":"https://doi.org/10.5614/itbj.ict.res.appl.2021.15.2.2","url":null,"abstract":"This study investigated structure strategies and exploratory scenarios for a half mode substrate integrated waveguide (HMSIW) antenna. The proposed antenna consists of three Hilbert cells, which are simulated by using CST programming. The antenna was manufactured with the realities of minor imperfections and high incorporation. The proposed structure offers a suitable substrate integrated waveguide (SIW) with about a decrease in size by half. In addition, Hilbert cells were added to realize the triple-band characteristics with good impedance matching, radiation patterns, and radiation performance. The antenna was fabricated on h = 1 mm thick dielectric substrate with dielectric constant (𝜀𝑟 = 4.3). The Hilbert cells were drilled on the top plane of the antenna substrate and fed using a microstrip transmission line. The proposed antenna is small, with a slot side length of approximately half of the guided wavelength. The three developed Hilbert cell HMSIW antenna resonates at 3.25, 5.94 and 6.5 GHz with a bandwidth of 2.97, 2.25 and 2.29% within a return loss of ‑38.77, ‑35.82 -23.35 dB, respectively. The results showed enhancements in antenna gain of 3.56, 4.97 and 6.43 dBi, with a radiation efficiency of -1.253, -0.493 and -0.586 dB, respectively.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46619912","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}

引用次数: 12

A New Term Frequency with Gaussian Technique for Text Classification and Sentiment Analysis 基于高斯技术的文本分类和情感分析新词频

IF 0.6

Journal of ICT Research and Applications Pub Date : 2021-10-07 DOI: 10.5614/itbj.ict.res.appl.2021.15.2.4

Vuttichai Vichianchai, Sumonta Kasemvilas

{"title":"A New Term Frequency with Gaussian Technique for Text Classification and Sentiment Analysis","authors":"Vuttichai Vichianchai, Sumonta Kasemvilas","doi":"10.5614/itbj.ict.res.appl.2021.15.2.4","DOIUrl":"https://doi.org/10.5614/itbj.ict.res.appl.2021.15.2.4","url":null,"abstract":"This paper proposes a new term frequency with a Gaussian technique (TF-G) to classify the risk of suicide from Thai clinical notes and to perform sentiment analysis based on Thai customer reviews and English tweets of travelers that use US airline services. This research compared TF-G with term weighting techniques based on Thai text classification methods from previous researches, including the bag-of-words (BoW), term frequency (TF), term frequency-inverse document frequency (TF-IDF), and term frequency-inverse corpus document frequency (TF-ICF) techniques. Suicide risk classification and sentiment analysis were performed with the decision tree (DT), naïve Bayes (NB), support vector machine (SVM), random forest (RF), and multilayer perceptron (MLP) techniques. The experimental results showed that TF-G is appropriate for feature extraction to classify the risk of suicide and to analyze the sentiments of customer reviews and tweets of travelers. The TF-G technique was more accurate than BoW, TF, TF-IDF and TF-ICF for term weighting in Thai suicide risk classification, for term weighting in sentiment analysis of Thai customer reviews for Burger King, Pizza Hut, and Sizzler restaurants, and for the sentiment analysis of English tweets of travelers using US airline services.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42481263","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}

引用次数: 2

A Scheme Towards Automatic Word Indexation System for Balinese Palm Leaf Manuscripts 一种巴厘岛棕榈叶手稿自动标引系统方案

IF 0.6

Journal of ICT Research and Applications Pub Date : 2021-10-07 DOI: 10.5614/itbj.ict.res.appl.2021.15.2.1

M. W. A. Kesiman, G. Pradnyana

{"title":"A Scheme Towards Automatic Word Indexation System for Balinese Palm Leaf Manuscripts","authors":"M. W. A. Kesiman, G. Pradnyana","doi":"10.5614/itbj.ict.res.appl.2021.15.2.1","DOIUrl":"https://doi.org/10.5614/itbj.ict.res.appl.2021.15.2.1","url":null,"abstract":"This paper proposes an initial scheme towards the development of an automatic word indexation system for Balinese lontar (palm leaf manuscript) collections. The word indexation system scheme consists of a sub module for patch image extraction of text areas in lontars and a sub module for word image transliteration. This is the first word indexation system for lontar collections to be proposed. To detect parts of a lontar image that contain text, a Gabor filter is used to provide initial information about the presence of text texture in the image. An adaptive sliding patch algorithm for the extraction of patch images in lontars is also proposed. The word image transliteration sub module was built using the long short-term memory (LSTM) model. The results showed that the image patch extraction of text areas process succeeded in optimally detecting text areas in lontars and extracting the patch image in a suitable position. The proposed scheme successfully extracted between 20% to 40% of the keywords in lontars and thus can at least provide an initial description for prospective lontar readers of the content contained in a lontar collection or to find in which lontar collection certain keywords can be found.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46991516","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}

引用次数: 0

Reducing Power Consumption in Hexagonal Wireless Sensor Networks Using Efficient Routing Protocols 利用高效路由协议降低六边形无线传感器网络的功耗

IF 0.6

Journal of ICT Research and Applications Pub Date : 2021-10-07 DOI: 10.5614/itbj.ict.res.appl.2021.15.2.5

Razan Khalid Alhatimi, O. Almousa, Firas AlBalas

引用次数: 0

Automated Detection and Classification of Breast Cancer Nuclei with Deep Convolutional Neural Network 基于深度卷积神经网络的乳腺癌核自动检测与分类

IF 0.6

Journal of ICT Research and Applications Pub Date : 2021-10-07 DOI: 10.5614/itbj.ict.res.appl.2021.15.2.3

Shanmugham Balasundaram, R. Balasundaram, Ganesan Rasuthevar, Christeena Joseph, A. Vimala, N. Rajendiran, Baskaran Kaliyamurthy

{"title":"Automated Detection and Classification of Breast Cancer Nuclei with Deep Convolutional Neural Network","authors":"Shanmugham Balasundaram, R. Balasundaram, Ganesan Rasuthevar, Christeena Joseph, A. Vimala, N. Rajendiran, Baskaran Kaliyamurthy","doi":"10.5614/itbj.ict.res.appl.2021.15.2.3","DOIUrl":"https://doi.org/10.5614/itbj.ict.res.appl.2021.15.2.3","url":null,"abstract":"Heterogeneous regions present in tissue with respect to cancer cells are of various types. This study aimed to analyze and classify the morphological features of the nucleus and cytoplasm regions of tumor cells. This tissue morphology study was established through invasive ductal breast cancer histopathology images accessed from the Databiox public dataset. Automatic detection and classification was carried out by means of the computer analytical tool of deep learning algorithm. Residual blocks with short skip were employed with hidden layers of preserved spatial information. A ResNet-based convolutional neural network was adapted to perform end-to-end segmentation of breast cancer nuclei. Nuclei regions were identified through color and tubular structure morphological features. Based on the segmented and extracted images, classification of benign and malignant breast cancer cells was done to identify tumors. The results indicated that the proposed method could successfully segment and classify breast tumors with an average Dice score of 90.68%, sensitivity = 98.64, specificity = 98.68, and accuracy = 98.82.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41482097","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}

引用次数: 3

Revealing the Characteristics of Balinese Dance Maestros by Analyzing Silhouette Sequence Patterns Using Bag of Visual Movement with HoG and SIFT Features 运用具有HoG和SIFT特征的视觉动作袋分析巴厘岛舞蹈大师的剪影序列模式

IF 0.6

Journal of ICT Research and Applications Pub Date : 2021-07-06 DOI: 10.5614/ITBJ.ICT.RES.APPL.2021.15.1.6

M. W. A. Kesiman, I. M. D. Maysanjaya, I. Pradnyana, I. M. G. Sunarya, P. Suputra

{"title":"Revealing the Characteristics of Balinese Dance Maestros by Analyzing Silhouette Sequence Patterns Using Bag of Visual Movement with HoG and SIFT Features","authors":"M. W. A. Kesiman, I. M. D. Maysanjaya, I. Pradnyana, I. M. G. Sunarya, P. Suputra","doi":"10.5614/ITBJ.ICT.RES.APPL.2021.15.1.6","DOIUrl":"https://doi.org/10.5614/ITBJ.ICT.RES.APPL.2021.15.1.6","url":null,"abstract":"The aim of this research was to reveal and explore the characteristics of Balinese dance maestros by analyzing silhouette sequence patterns of Balinese dance movements. A method and complete scheme for the extraction and construction of silhouette features of Balinese dance movements are proposed to enable performing quantitative analysis of Balinese dance movement patterns. Two different feature extraction methods, namely the Histogram of Gradient (HoG) feature and the Scale Invariant Features Transform (SIFT) descriptor, were used to build the final feature, called the Bag of Visual Movement (BoVM) feature. This research also makes a technical contribution with the proposal of quantifying measures to analyze the movement patterns of Balinese dances and to create the profile and characteristics of dance maestros/creators. Eight Balinese dances from three different Balinese dance maestros were analyzed in this work. Based on the experimental results, the proposed method was able to visually detect and extract patterns from silhouette sequences of Balinese dance movements. Quantitatively, the pattern measures for profiling of Balinese dances and maestros revealed a number of significant characteristics of different dances and different maestros.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2021-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46650046","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}

引用次数: 1

Extraction of the Major Features of Brain Signals using Intelligent Networks 利用智能网络提取脑信号的主要特征

IF 0.6

Journal of ICT Research and Applications Pub Date : 2021-07-05 DOI: 10.5614/ITBJ.ICT.RES.APPL.2021.15.1.5

Shirin Salarian, Amir Shahab Shahabi

引用次数: 0

Cell Selection Mechanism Based on Q-learning Environment in Femtocell LTE-A Networks 毫微微小区LTE-A网络中基于Q学习环境的小区选择机制

IF 0.6

Journal of ICT Research and Applications Pub Date : 2021-07-05 DOI: 10.5614/ITBJ.ICT.RES.APPL.2021.15.1.4

Ammar A. Bathich, S. I. Suliman, Hj. Mohd Asri Hj. Mansor, Sinan Ghassan Abid Ali, Raed M. T. Abdulla

{"title":"Cell Selection Mechanism Based on Q-learning Environment in Femtocell LTE-A Networks","authors":"Ammar A. Bathich, S. I. Suliman, Hj. Mohd Asri Hj. Mansor, Sinan Ghassan Abid Ali, Raed M. T. Abdulla","doi":"10.5614/ITBJ.ICT.RES.APPL.2021.15.1.4","DOIUrl":"https://doi.org/10.5614/ITBJ.ICT.RES.APPL.2021.15.1.4","url":null,"abstract":"Universal mobile networks require enhanced capability and appropriate quality of service (QoS) and experience (QoE). To achieve this, Long Term Evolution (LTE) system operators have intensively deployed femtocells (HeNBs) along with macrocells (eNBs) to offer user equipment (UE) with optimal capacity coverage and best quality of service. To achieve the requirement of QoS in the handover stage among macrocells and femtocells we need a seamless cell selection mechanism. Cell selection requirements are considered a difficult task in femtocell-based networks and effective cell selection procedures are essential to reduce the ping-pong phenomenon and to minimize needless handovers. In this study, we propose a seamless cell selection scheme for macrocell-femtocell LTE systems, based on the Q-learning environment. A novel cell selection mechanism is proposed for high-density femtocell network topologies to evaluate the target base station in the handover stage. We used the LTE-Sim simulator to implement and evaluate the cell selection procedures. The simulation results were encouraging: a decrease in the control signaling rate and packet loss ratio were observed and at the same time the system throughput was increased.","PeriodicalId":42785,"journal":{"name":"Journal of ICT Research and Applications","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47797163","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}

引用次数: 3