{"title":"Performance Analysis and Prediction Student Performance to build effective student Using Data Mining Techniques","authors":"S. Aziz, A. H. Awlla","doi":"10.21928/UHDJST.V3N2Y2019.PP10-15","DOIUrl":"https://doi.org/10.21928/UHDJST.V3N2Y2019.PP10-15","url":null,"abstract":"In this period of computerization, schooling has additionally remodeled itself and is not restrained to old lecture technique. The everyday quest is on to discover better approaches to make it more successful and productive for students. These days, masses of data are gathered in educational databases, however it stays unutilized. To be able to get required advantages from such major information, effective tools are required. Data mining is a developing capable tool for examination and expectation. It is effectively applied in the field of fraud detection, marketing, promoting, forecast and loan assessment. However, it is in incipient stage in the area of education. In this paper, data mining techniques have been applied to construct a classification model to predict the performance of students.","PeriodicalId":32983,"journal":{"name":"UHD Journal of Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46281725","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}
{"title":"Using Regression Kriging to Analyze Groundwater According to Depth and Capacity of Wells","authors":"Aras Jalal Mhamad","doi":"10.21928/uhdjst.v3n1y2019.pp39-47","DOIUrl":"https://doi.org/10.21928/uhdjst.v3n1y2019.pp39-47","url":null,"abstract":"Groundwater is valuable, because it is needed as fresh water for agricultural, domestic, ecological and industrial purposes. However, due to population growth and economic development, the groundwater environment is becoming more and more important and extensive. So the objective of the study is to analyze and predicting groundwater for the year 2018 based on depth and capacity of wells by using the modern style of analyzing and predicting, which is regression kriging (RK) method. Regression kriging is a geostatistical approach that exploits both the spatial variation in the sampled variable itself, and environmental information collected from covariate maps for the target predictor. It is possible to predict groundwater quality maps for areas at Sulaimani governorate in Kurdistan Regions Iraq. Sample data concerning depth and capacity of groundwater wells were collected on Ground Water Directorate in Sulaimani City. The most important result of the study in the regression kriging was the depth and capacity prediction map. The samples from the high depth of wells are located in south of Sulaimani governorate, while the north and middle areas of Sulaimani governorate have got low depths of wells. Although the samples from the high capacity are located in south of Sulaimani governorate, in the north and middle the capacity of wells have decreased. The classes (230 – 482m) of depth are the more area, while the classes (29 – 158G/s) of capacity are the almost area in the study.","PeriodicalId":32983,"journal":{"name":"UHD Journal of Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48747723","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}
{"title":"Node Detection and Tracking in Smart Cities Based on Internet of Things and Machine Learning","authors":"Ramyar A. Teimoor, A. Darwesh","doi":"10.21928/UHDJST.V3N1Y2019.PP30-38","DOIUrl":"https://doi.org/10.21928/UHDJST.V3N1Y2019.PP30-38","url":null,"abstract":"It is essential to know that using technologies in a good manner will facilitate human live. Internet of Things (IoT) used widely due to developments in information and verbal exchange technologies. Some of the most famous fields of IoT applications are Identification, transmission, and healthcare which uses IoT technologies to collect information and recognizing the problem and propose the solution for it. In this paper, we try to find RFID nodes and their location. An Android Application used to provide help for those needed. Finding and detection the actual zone of our users are done by using KNN algorithm. We use 3NN because that model gets a better result in our dataset, for transmission depending on the users’ problem. \u0000We use a new equation to find weights that integrated with Dijkstra's algorithm, the equation is to calculate the weight between any two nodes using traffic information and image processing for finding a load of road by counting number of vehicles inside the image that collected from our readers. Dijkstra's algorithm is used to find the best path between source and destination using weights between nodes. The idea is used in healthcare, but can be used in many other fields like, security, Information and Communication Technology and Military.","PeriodicalId":32983,"journal":{"name":"UHD Journal of Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48308467","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}
{"title":"Signature Recognition Based on Discrete Wavelet Transform","authors":"Sivana Salahadin Muhamad, M. Al-Ani","doi":"10.21928/UHDJST.V3N1Y2019.PP19-29","DOIUrl":"https://doi.org/10.21928/UHDJST.V3N1Y2019.PP19-29","url":null,"abstract":"Personal identification is an actively developing area of research. Human signature is a vital biometric attribute which can be used to authenticate human identity. There are many approaches to recognize signature with a lot of researches. The aim of this research is to introduce an efficient approach for signature recognition. This approach starts with the process the acquired signatures and stores these signatures in the database to be ready for verification. The collection of signature data based on collecting samples of 10 people and 10 signatures for each person through traditional ink stamp method. These signatures are digitized to be ready for processing. Many steps are applied to the acquired images to perform the pre-processing stage. The proposed approach based on discrete wavelet transforms to extract significant features from each signature image. Pre-processing is applied at the beginning of this approach to avoid any unwanted noise. This approach consists of many steps: Data acquisition, pre-processing, signature registration, and feature extraction. High recognition rate results (100%) are obtained through applying this approach.","PeriodicalId":32983,"journal":{"name":"UHD Journal of Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49216773","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}
{"title":"Happiness Measurement Via Classroom Based on Face Tracking","authors":"M. Al-Ani","doi":"10.21928/UHDJST.V3N1Y2019.PP9-18","DOIUrl":"https://doi.org/10.21928/UHDJST.V3N1Y2019.PP9-18","url":null,"abstract":"Teaching and learning are important factors in our life, so, increasing the happiness during class cause raising the ability of learning. This research focused on the evaluation of the learning process via classroom before and after applying the proposed method. One of the big challenge during classroom lesson, the students after a short period of time (about 10-15 minutes) at the beginning of the session, turn off their minds and remain absolutely out of understanding. Our goal is to revitalize the classroom environment so that you are always attentive to the lecture. The proposed approach aims to track and detect the emotional facial expression and transient from emotional facial expression to raise the happy expression in order to reach the classroom happiness. Image processing issue is an important part of this approach in which based on face recognition and tracking, then evaluates the students’ happiness according to the proposed mode that located in the classroom. This model is implemented from Raspberry Pi device, tracking camera and high definition screen. The implemented algorithm allows you to continue of face tracing and make rising of happiness as possible. Increasing happiness is an important factor in making students more attractive and more understanding for the classroom lecture. This approach is implemented to cover both software and hardware, so, it is acceptable to work in real time.","PeriodicalId":32983,"journal":{"name":"UHD Journal of Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43952046","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}
{"title":"Environmental Impacts of Shewashok Oil Field on Sheep and Cow Meat Using Vital Trace Elements as Contamination Bioindicators","authors":"R. R. Hamadamin, M. Q. Salih, Rostam S. Aziz","doi":"10.21928/uhdjst.v3n1y2019.pp1-8","DOIUrl":"https://doi.org/10.21928/uhdjst.v3n1y2019.pp1-8","url":null,"abstract":"Ambient environment is built based on the interaction of living and non-living organism and chemical and physical compounds, and thus, oil field emissions, effluents, and its general waste can be a part of environmental condition of certain area. This study is to investigate the environmental impacts of oil field on sheep and cow meat around Shewashok oilfield. It has been performed at the Laboratories of the Department of Medical Microbiology, Koya University, by detecting and measuring heavy metals and vital trace elements as contamination indicators. 20 meat samples of domestic animals (cow and sheep) in both control and affected area were collected for the purpose of detecting the concentration of heavy metals in the animals. The samples dried and digested with concentrated HNO3 and concentrated H2O2. The concentration of heavy metals of the sample digested domestic animal was determined using inductively coupled plasma–optical emission spectroscopy. This study shows that iron, cobalt, copper, zinc, arsenic, manganese, aluminum, mercury, and chromium were detected in all the meat samples. Overall, this study confirms that the cow and sheep meat are still safe to eat in both locations because only Al, Fe, and Hg were found danger in both sheep and cows’ meat in comparison with allowed limits of the World Health Organization 2017, and all other trace elements are complying with the global standards.","PeriodicalId":32983,"journal":{"name":"UHD Journal of Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68397525","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}
{"title":"Assessment of Heavy Metals Contamination in Drinking Water of Garmian Region, Iraq","authors":"H. Issa, Azad Alshatteri","doi":"10.21928/uhdjst.v2n2y2018.pp40-53","DOIUrl":"https://doi.org/10.21928/uhdjst.v2n2y2018.pp40-53","url":null,"abstract":"Drinking water of safe quality is a critical issue for human survival and health. Water pollution by heavy metals is very crucial because of their toxicity. This study assesses potential of heavy metals pollution in drinking water in Garmian Region, East Iraq. Water samples were investigated for 23 heavy metals and 6 chemical contaminants collected from 16 locations. The analysis was performed by using coupled plasma optical emission spectroscopy (ICPOES, Spectro Arcos). High levels of Al, Se, Sr, and Fe have been detected at certain locations in study area. Statistical analysis techniques of the correlation matrix (CM), and cluster hierarchical analysis (CA) were conducted. The heavy metals pollution index (HPI), heavy metals evaluation index (HEI), and contamination Index (Cd) were used applied. These indices linked with the statistical analysis to interpret relationships among the tested parameters in water samples and to investigate the pollution sources over the study region. Even with the significant correlations between the HPI, Cd, and HEI, they showed dissimilar impact of examined heavy metals on the water quality. The most reliable pollution evaluation index of HEI for drinking water showed that 44% of the water samples is critically polluted. Sources of the contamination are most likely coming from natural geological sources. Anthropogenic impact was only noticed at several sites in the study area.","PeriodicalId":32983,"journal":{"name":"UHD Journal of Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46860181","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}
{"title":"Kurdistan Region Network Infrastructure Design","authors":"Zana Azeez Kakarash","doi":"10.21928/uhdjst.v2n2y2018.pp15-23","DOIUrl":"https://doi.org/10.21928/uhdjst.v2n2y2018.pp15-23","url":null,"abstract":"Digital communications play fundamental role in everyday life. Requests for e-services and e-applications obviously will grow rapidly on networks. Although In Kurdistan Region, There are many potential barriers, however design and implementing national digital Backbone Infrastructure is a vital and challenging task for the government to improve public sector efficiency. For the purpose of this research to get a sense of which barriers are more likely than others, A survey was conducted among the Kurdistan ICT professional. Moreover, One of the main focuses of this study is offering KRG a comprehensive, secure network infrastructure design with minimum latency, high availability, and maximum performance. Finally the possibility of using cloud computing within the context of normal government operations and public services in general has been discussed.","PeriodicalId":32983,"journal":{"name":"UHD Journal of Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42077993","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}
{"title":"English to Kurdish Rule-based Machine Translation System","authors":"K. Kaka-Khan","doi":"10.21928/UHDJST.V2N2Y2018.PP32-39","DOIUrl":"https://doi.org/10.21928/UHDJST.V2N2Y2018.PP32-39","url":null,"abstract":"In this paper we present a machine translation system developed to translate simple English sentences to Kurdish. The system is based on the (apertuim) free open source engine that provides the environment and the required tools to develop a machine translation system. The developed system is used to translate some as simple sentence, compound sentence, phrases and idioms from English to Kurdish. The resulting translation is then evaluated manually for accuracy and completeness compared to the result produced by the popular (inKurdish) English to Kurdish machine translation system. The result shows that our system is more accurate than inkurdish system. This paper contributes towards the ongoing effort to achieve full machine-based translation in general and English to Kurdish machine translation in specific.","PeriodicalId":32983,"journal":{"name":"UHD Journal of Science and Technology","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46393175","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}
{"title":"A Blockchain-based Service Provider Validation and Verification Framework for Healthcare Virtual Organization","authors":"Hoger Mahmud Hussen","doi":"10.21928/UHDJST.V2N2Y2018.PP24-31","DOIUrl":"https://doi.org/10.21928/UHDJST.V2N2Y2018.PP24-31","url":null,"abstract":"Virtual organization and blockchain are two newly emerging technologies that researchers are exploring their potentials to solve many information and communication technology unaddressed problems and challenges. Health care is one of the sectors that are very dynamic and it is in need of constant improvement in the quest to better the quality of cares and reduce cost. One of the hotline of research in the sector is the use of information and communication technology to provide health care and this is where the concept of virtual healthcare is relevant. In virtual healthcare patients and care providers are collaborating in virtual settings where two of the most difficult challenges are verifying and validating the identity of the communicating parties and the information exchanged. In this paper we propose a conceptual framework using blochchain technology to address the health care provider and record verification and validation issue. The framework is specific to healthcare systems developed based on Virtual Breeding Environment and Virtual Organization. We outline and explain each step in the framework and demonstrate its applicability in a simple healthcare scenario. This paper contributes towards the continuing effort to address user identity and information verification and validation issues in virtual settings in general and in healthcare in specific. ","PeriodicalId":32983,"journal":{"name":"UHD Journal of Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41896607","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}