International Journal of Artificial Intelligence Research最新文献_第9页

A protocol for Enhanced imaging and Quantification of Cervical Cell Under Scanning electron Microscope 宫颈细胞在扫描电镜下增强成像和定量的方案

International Journal of Artificial Intelligence Research Pub Date : 2019-12-30 DOI: 10.29099/IJAIR.V3I2.98

Y. Jusman, Agus Jamal, May Valzon, K. Hasikin, Siew Cheok Ng

{"title":"A protocol for Enhanced imaging and Quantification of Cervical Cell Under Scanning electron Microscope","authors":"Y. Jusman, Agus Jamal, May Valzon, K. Hasikin, Siew Cheok Ng","doi":"10.29099/IJAIR.V3I2.98","DOIUrl":"https://doi.org/10.29099/IJAIR.V3I2.98","url":null,"abstract":"The application of Field Emission Scanning Electron Microscopy and Energy Dispersive X-Ray (FE-SEM/EDX) for the characterization of biological samples can produce promising results for classification purpose. The limitations of the established sample preparation technique of cervical cells for FE-SEM/EDX study that differentiate between normal and abnormal cells prompted the development of a proposed protocol for the preparation of cervical cells. The proposed protocol was conducted by a McDowell-Trump fixative prepared in 0.1M phosphate buffer without osmium tetroxide at 4°C for 2 h in the fixation process. Morphologically, the cervical cells scanned under the FE-SEM/EDX did not present blackening effects, and the structure of the cells was not broken based on the FE-SEM images. Quantitatively, the possible elemental distributions in the cells, such as carbon, nitrogen, oxygen, and sodium, are detected in samples prepared by the proposed protocol. The analysed elements were validated using the Attenuated Total Reflection and Fourier Transform Infrared (ATR/FTIR) spectroscopy. Moreover, by avoiding osmium tetroxide fixation, the time required for sample preparation decreased significantly. This sample preparation protocol can be used for normal and abnormal cervical cells in achieving better results in terms of morphological, detected elemental distribution, and rapid in time.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"20 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129087719","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

Solution of class imbalance of k-nearest neighbor for data of new student admission selection 新生录取选择数据中k近邻的班级失衡解

International Journal of Artificial Intelligence Research Pub Date : 2019-12-30 DOI: 10.29099/IJAIR.V3I2.92

S. Mutrofin, Ainul Mu'alif, R. V. Ginardi, C. Fatichah

引用次数: 6

Design of a-based smart meters to monitor electricity usage in the household sector using hybrid particle swarm optimization - neural network 基于混合粒子群优化-神经网络的家庭用电监测智能电表设计

International Journal of Artificial Intelligence Research Pub Date : 2019-12-30 DOI: 10.29099/IJAIR.V3I2.82

M. Y. Yunus, Marhatang Marhatang, Andareas Pangkung, M. Djalal

{"title":"Design of a-based smart meters to monitor electricity usage in the household sector using hybrid particle swarm optimization - neural network","authors":"M. Y. Yunus, Marhatang Marhatang, Andareas Pangkung, M. Djalal","doi":"10.29099/IJAIR.V3I2.82","DOIUrl":"https://doi.org/10.29099/IJAIR.V3I2.82","url":null,"abstract":"The procedure is training and testing the nerves that will be made. Matlab software has a Neural Network tool, which in this study will be used. Load sampling data is used as input data for neural network training. As output / target load classification is used. Load classification method, which is 1 for TV load classification, 2 for fan load, 3 for iron load, 4 for water pump load, 5 for lamp load, 6 for dispenser load, and 7 for fan iron load combination. The total load is 6 single loads and 1 combination load. One load combination was chosen because, on the combination load characteristics after the fan has characteristics that are not the same as the others. Data sampling of the current of each load will be used as neural network training. Load data used is 30 samples or for 30 seconds, with every minute the data is taken. From the results of the training, it can be seen that the biggest training error is in the seventh data, namely the identification of the load on the classification of the fan-iron load. This is because the current pattern on the iron and fan with the iron or fan itself has almost the same characteristics. However, for this process networks will be used and then the PSO optimization method is used to reduce the error, in the next study. From the test results, it is shown that by varying the input current data of each load, the network has been able to identify well, even though in the data classification load 7, the load of the iron-fan combination still has a large error. This will be corrected in subsequent studies with Particle Swarm Optimization (PSO) algorithm optimization.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"74 5-6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132192102","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

An Inflation Rate Prediction Based on Backpropagation Neural Network Algorithm 基于反向传播神经网络算法的通货膨胀率预测

International Journal of Artificial Intelligence Research Pub Date : 2019-12-30 DOI: 10.29099/IJAIR.V3I2.112

P. Purnawansyah, H. Haviluddin, H. J. Setyadi, Kelvin K. L. Wong, Rayner Alfred

引用次数: 9

Journal Classification Using Cosine Similarity Method on Title and Abstract with Frequency-Based Stopword Removal 基于频率停止词去除的标题与摘要余弦相似度方法期刊分类

International Journal of Artificial Intelligence Research Pub Date : 2019-12-30 DOI: 10.29099/IJAIR.V3I2.99

Piska dwi Nurfadila, A. Wibawa, I. Zaeni, A. Nafalski

引用次数: 8

An Implementation of Fuzzy PD Control Design for Five Flip Folders Folding Machine Using Arduino Mega2560 基于Arduino Mega2560的五折页机模糊PD控制设计实现

International Journal of Artificial Intelligence Research Pub Date : 2019-07-08 DOI: 10.29099/IJAIR.V3I2.90

W. Pambudi, E. A. Zuliari, R. A. Firmansyah, Muhammad Hasbi Nasiruddin

引用次数: 1

A Modified Meta-Heuristic Approach for Vehicle Routing Problem with Simultaneous Pickup and Delivery 一种改进的元启发式方法求解同时取货和递送的车辆路径问题

International Journal of Artificial Intelligence Research Pub Date : 2018-12-26 DOI: 10.29099/IJAIR.V2I2.71

Alfian Faiz, S. Subiyanto, U. M. Arief

{"title":"A Modified Meta-Heuristic Approach for Vehicle Routing Problem with Simultaneous Pickup and Delivery","authors":"Alfian Faiz, S. Subiyanto, U. M. Arief","doi":"10.29099/IJAIR.V2I2.71","DOIUrl":"https://doi.org/10.29099/IJAIR.V2I2.71","url":null,"abstract":"The aim of this work is to develop an intelligent optimization software based on enhanced VNS meta-heuristic to tackle Vehicle Routing Problem with Simultaneous Pickup and Delivery (VRPSPD). An optimization system developed based on enhanced Variable Neighborhood Search with Perturbation Mechanism and Adaptive Selection Mechanism as the simple but effective optimization approach presented in this work. The solution method composed by combining Perturbation based Variable Neighborhood Search (PVNS) with Adaptive Selection Mechanism (ASM) to control perturbation scheme. Instead of stochastic approach, selection of perturbation scheme used in the algorithm employed an empirical selection based on each perturbation scheme success along the search. The ASM help algorithm to get more diversification degree and jumping from local optimum condition using most successful perturbation scheme empirically in the search process. A comparative analysis with a well-known exact approach is presented to test the solution method in a generated VRPSPD benchmark instance in limited computation time. Then a test to VRPSPD scenario provided by a liquefied petroleum gas distribution company is performed. The test result confirms that solution method present superior performance against exact approach solution in giving best solution for larger sized instance and successfully obtain substantial improvements when compared to the basic VNS and original route planning technique used by a distributor company.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131343009","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

Design and Analysis of an Intelligent Integrity Checking Watermarking Scheme for Ubiquitous Database Access 面向泛在数据库访问的智能完整性检测水印方案设计与分析

International Journal of Artificial Intelligence Research Pub Date : 2018-12-07 DOI: 10.29099/IJAIR.V3I1.65

S. Darwish, H. A. Selim

{"title":"Design and Analysis of an Intelligent Integrity Checking Watermarking Scheme for Ubiquitous Database Access","authors":"S. Darwish, H. A. Selim","doi":"10.29099/IJAIR.V3I1.65","DOIUrl":"https://doi.org/10.29099/IJAIR.V3I1.65","url":null,"abstract":"As a result of the highly distributed nature of ubiquitous database accessing, it is essential to develop security mechanisms that lend themselves well to the delicate properties of outsourcing databases integrity and copyright protection. Researchers have begun to study how watermarking computing can make ubiquitous databases accessing more confident work environments. One area where database context may help is in supporting content integrity. Initially, most of the research effort in this field was depending on distortion based watermark while the few remaining studies concentrated on distortion-free. But there are many disadvantages in previous studies; most notably some rely on adding watermark as an extra attributes or tuples, which increase the size of the database. Other techniques such as permutation and abstract interpretation framework require much effort to verify the watermark. The idea of this research is to adapt an optimized distortion free watermarking based on fake tuples that are embedded into a separate file not within the database to validate the content integrity for ubiquitous database accessing. The proposed system utilizes the GA, which boils down its role to create the values of the fake tuples as watermark to be the closest to real values. So that it's very hard to any attacker to guess the watermark. The proposed technique achieves more imperceptibility and security. Experimental outcomes confirm that the proposed algorithm is feasible, effective and robust against a large number of attacks.","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126409001","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

PREDETERMINED TIME STUDY APPLICATION AS A MEASUREMENT TIME STUDY CALCULATION TOOL 预定时间研究应用作为测量时间研究的计算工具

International Journal of Artificial Intelligence Research Pub Date : 2018-12-07 DOI: 10.29099/IJAIR.V3I1.81

Christofora Desi Kusmindari, A. Muzakir, R. Renilaili

{"title":"PREDETERMINED TIME STUDY APPLICATION AS A MEASUREMENT TIME STUDY CALCULATION TOOL","authors":"Christofora Desi Kusmindari, A. Muzakir, R. Renilaili","doi":"10.29099/IJAIR.V3I1.81","DOIUrl":"https://doi.org/10.29099/IJAIR.V3I1.81","url":null,"abstract":"Evaluation of the results of the development of a standard time calculation system which has been applied for approximately 1 semester (6 months) is done by using Webqual instruments where there are 3 parts of testing, namely usability quality, information quality and interaction quality. This assessment instrument emphasizes the assessment of information systems based on the perspective of the last user. As for the results of the validity of the Pearson Correlation score and by observing the score of Corrected Item - Total Correlation which is above 0.6 or equal to 0.6 and the reliability test results has obtained the score of chronbach's alpha above 0.60. And the results of the hypothesis for the variable usability quality is 0.700, which means that Usability Quality (X1) has a close relationship or influence on Overall Impression (Y), the results of the variable Quality Information hypothesis (X2) correlation coefficient 0.715 which means that the assessment has a relationship or close influence on Overall Impression (Y), and the results of the hypothesis variable Interaction Quality (X3) correlation coefficient 0.813 which means that the assessment has a close relationship or influence on Overall Impression (Y).","PeriodicalId":334856,"journal":{"name":"International Journal of Artificial Intelligence Research","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121144581","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

A modeling approach for short-term load forcasting using fuzzy logic type-2 in sulselrabar system 基于模糊逻辑2型的sulselrabar系统短期负荷预测建模方法

International Journal of Artificial Intelligence Research Pub Date : 2018-12-07 DOI: 10.29099/ijair.v3i1.68

M. Djalal

引用次数: 2