Pub Date : 2022-03-01DOI: 10.33899/edusj.2022.132274.1201
farah alhamdany, Laheeb Ibrahim
Software Effort Estimation (SEE) is used in accurately predicting the effort in terms of (person–hours or person–months). Although there are many models, Software Effort Estimation (SEE) is one of the most difficult tasks for successful software development. Several SEE models have been proposed. However, software effort overestimation or underestimation can lead to failure or cancellation of a project. Hence, the main target of this research is to find a performance model for estimating the software effort through conduction empirical comparisons using various Machine Learning (ML) algorithms. Various ML techniques have been used with seven datasets used for Effort Estimation. These datasets are China, Albrecht, Maxwell, Desharnais, Kemerer, Cocomo81, Kitchenham, to determine the best performance for Software Development Effort Estimation. Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and R-Squared were the evaluation metrics considered. Results and experiments with various ML algorithms for software effort estimation have shown that the LASSO algorithm with China dataset produced the best performance compared to the other algorithms.
{"title":"Software Development Effort Estimation Techniques: A Survey","authors":"farah alhamdany, Laheeb Ibrahim","doi":"10.33899/edusj.2022.132274.1201","DOIUrl":"https://doi.org/10.33899/edusj.2022.132274.1201","url":null,"abstract":"Software Effort Estimation (SEE) is used in accurately predicting the effort in terms of (person–hours or person–months). Although there are many models, Software Effort Estimation (SEE) is one of the most difficult tasks for successful software development. Several SEE models have been proposed. However, software effort overestimation or underestimation can lead to failure or cancellation of a project. Hence, the main target of this research is to find a performance model for estimating the software effort through conduction empirical comparisons using various Machine Learning (ML) algorithms. Various ML techniques have been used with seven datasets used for Effort Estimation. These datasets are China, Albrecht, Maxwell, Desharnais, Kemerer, Cocomo81, Kitchenham, to determine the best performance for Software Development Effort Estimation. Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and R-Squared were the evaluation metrics considered. Results and experiments with various ML algorithms for software effort estimation have shown that the LASSO algorithm with China dataset produced the best performance compared to the other algorithms.","PeriodicalId":33491,"journal":{"name":"mjl@ ltrby@ wl`lm","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44941023","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}
Pub Date : 2022-03-01DOI: 10.33899/edusj.2022.132223.1200
F. Ramo, Mohammed Kannah
Language classification systems are used to classify spoken language from a particular phoneme sample and are usually the first step of many spoken language processing tasks, such as automatic speech recognition (ASR) systems Without automatic language detection, spoken speech cannot be properly analyzed and grammar rules cannot be applied, causing failures Subsequent speech recognition steps. We propose a language classification system that solves the problem in the image field, rather than the sound field. This research identified and implemented several low-level features using Mel Frequency Cepstral Coefficients, which extract traits from speech files of four languages (Arabic, English, French, Kurdish) from the database (M2L_Dataset) as the data source used in this research. A Convolutional Neuron Network is used to operate on spectrogram images of the available audio snippets. In extensive experiments, we showed that our model is applicable to a range of noisy scenarios and can easily be extended to previously unknown languages, while maintaining classification accuracy. We released our own code and extensive training package for language classification systems for the community. CNN algorithm was applied in this research to classify and the result was perfect, as the classification accuracy reached 97% between two languages if the sample length was only one second, but if the sample length was two seconds, the classification accuracy reached 98%. While the classification among three languages, the classification accuracy reached 95% if the sample length was only one second, but if the sample length was two seconds, the classification accuracy reached 96%.
语言分类系统用于从特定音素样本中对口语进行分类，通常是许多口语处理任务的第一步，如自动语音识别(ASR)系统，如果没有自动语言检测，口语就无法正确分析，语法规则也无法应用，导致后续语音识别步骤失败。我们提出了一个语言分类系统，解决了图像领域的问题，而不是声音领域的问题。本研究使用Mel Frequency Cepstral系数从数据库(M2L_Dataset)中的四种语言(阿拉伯语、英语、法语、库尔德语)的语音文件中提取特征，作为本研究使用的数据源，识别并实现了几个低级特征。使用卷积神经元网络对可用音频片段的频谱图图像进行操作。在大量的实验中，我们证明了我们的模型适用于一系列有噪声的场景，并且可以很容易地扩展到以前未知的语言，同时保持分类准确性。我们为社区发布了自己的代码和广泛的语言分类系统培训包。本研究使用CNN算法进行分类，结果非常理想，当样本长度为1秒时，两种语言之间的分类准确率达到97%，而当样本长度为2秒时，分类准确率达到98%。而三种语言之间的分类，当样本长度为1秒时，分类准确率达到95%，而当样本长度为2秒时，分类准确率达到96%。
{"title":"Intelligence System for Multi-Language Recognition","authors":"F. Ramo, Mohammed Kannah","doi":"10.33899/edusj.2022.132223.1200","DOIUrl":"https://doi.org/10.33899/edusj.2022.132223.1200","url":null,"abstract":"Language classification systems are used to classify spoken language from a particular phoneme sample and are usually the first step of many spoken language processing tasks, such as automatic speech recognition (ASR) systems Without automatic language detection, spoken speech cannot be properly analyzed and grammar rules cannot be applied, causing failures Subsequent speech recognition steps. We propose a language classification system that solves the problem in the image field, rather than the sound field. This research identified and implemented several low-level features using Mel Frequency Cepstral Coefficients, which extract traits from speech files of four languages (Arabic, English, French, Kurdish) from the database (M2L_Dataset) as the data source used in this research. A Convolutional Neuron Network is used to operate on spectrogram images of the available audio snippets. In extensive experiments, we showed that our model is applicable to a range of noisy scenarios and can easily be extended to previously unknown languages, while maintaining classification accuracy. We released our own code and extensive training package for language classification systems for the community. CNN algorithm was applied in this research to classify and the result was perfect, as the classification accuracy reached 97% between two languages if the sample length was only one second, but if the sample length was two seconds, the classification accuracy reached 98%. While the classification among three languages, the classification accuracy reached 95% if the sample length was only one second, but if the sample length was two seconds, the classification accuracy reached 96%.","PeriodicalId":33491,"journal":{"name":"mjl@ ltrby@ wl`lm","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45694162","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}
Pub Date : 2022-03-01DOI: 10.33899/edusj.2022.132403.1206
Banan Taha, R. Mohammed
{"title":"Investigation the toxicity of compound insecticide (Acetamiprid and Thiamethioxam) on development of Ross 308 Broiler chick embryo","authors":"Banan Taha, R. Mohammed","doi":"10.33899/edusj.2022.132403.1206","DOIUrl":"https://doi.org/10.33899/edusj.2022.132403.1206","url":null,"abstract":"","PeriodicalId":33491,"journal":{"name":"mjl@ ltrby@ wl`lm","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43038366","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}
Pub Date : 2022-03-01DOI: 10.33899/edusj.2022.132790.1211
A. Ali
Packets queuing and scheduling in network routers is a key point of overall network performance. Many applications, especially applications that require Quality of Services (QoS) need techniques to pass their packets throughout routers and control and/or avoid congestions in highly congested routes. Therefore, many Active Queue Management (AQM) algorithms have been developed to avoid or control congestion in routers and provide fairness among traffic flows. This paper provides an extensive evaluation performance analysis of three well-known AQM algorithms including RED, REM and traditional Drop-Tail with QoS application requirements. The evaluation performance is conducted by employing network simulator version 2 (NS2). The network performance is measured with Voice over Internet Protocol (VoIP) traffic and three performance metrics including throughput, latency, and PSD (Probability of Sequential Drop). The analysis shows no AQM algorithm achieves all the VoIP QoS requirements, A new AQM is needed to fulfil QoS requirements and manage queue to handle unresponsive flows.
{"title":"EVALUATING QOS IN NETWORKS WITH ACTIVE QUEUE MANAGEMENT ALGORITHMS","authors":"A. Ali","doi":"10.33899/edusj.2022.132790.1211","DOIUrl":"https://doi.org/10.33899/edusj.2022.132790.1211","url":null,"abstract":"Packets queuing and scheduling in network routers is a key point of overall network performance. Many applications, especially applications that require Quality of Services (QoS) need techniques to pass their packets throughout routers and control and/or avoid congestions in highly congested routes. Therefore, many Active Queue Management (AQM) algorithms have been developed to avoid or control congestion in routers and provide fairness among traffic flows. This paper provides an extensive evaluation performance analysis of three well-known AQM algorithms including RED, REM and traditional Drop-Tail with QoS application requirements. The evaluation performance is conducted by employing network simulator version 2 (NS2). The network performance is measured with Voice over Internet Protocol (VoIP) traffic and three performance metrics including throughput, latency, and PSD (Probability of Sequential Drop). The analysis shows no AQM algorithm achieves all the VoIP QoS requirements, A new AQM is needed to fulfil QoS requirements and manage queue to handle unresponsive flows.","PeriodicalId":33491,"journal":{"name":"mjl@ ltrby@ wl`lm","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49161853","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}
Pub Date : 2022-03-01DOI: 10.33899/edusj.2022.132014.1197
Natheer J. Yaseen
Nowadays hookah smoking has dramatically increased especially in the Middle East. Because Hookah tobacco contains many harmful substances, it has dangerous impacts on human beings. The goal of the current study is to examine the oxidative stress in blood and clastogenic effects of hookah smoking on exfoliated buccal cells. One hundred and twenty five healthy adult males were involved in this study. The participants were distributed into five groups: control, passive smokers, and three hookah smoker groups. Samples of blood from all groups were examined for Malondialdehyde (MDA) level and exfoliated buccal cells were examined thorough micronucleus (MN) test for frequencies of nuclear abnormalities including Micronucleus (MN), Binucleates (BN) and Karyolysis (KL), were evaluated as well. Frequencies of all nuclear abnormalities Micronucleus (MN), Binucleates (BN) and Karyolysis significantly increased in all exposed groups compared to the control group and the effect was exposure duration dependent. Malondialdehyde level also significantly increased in all exposed groups compared to the control group and the effect was exposure duration dependent.
{"title":"Nuclear abnormalities and Oxidative Stress Induced by Hookah (Shisha) in Male Human in Erbil City","authors":"Natheer J. Yaseen","doi":"10.33899/edusj.2022.132014.1197","DOIUrl":"https://doi.org/10.33899/edusj.2022.132014.1197","url":null,"abstract":"Nowadays hookah smoking has dramatically increased especially in the Middle East. Because Hookah tobacco contains many harmful substances, it has dangerous impacts on human beings. The goal of the current study is to examine the oxidative stress in blood and clastogenic effects of hookah smoking on exfoliated buccal cells. One hundred and twenty five healthy adult males were involved in this study. The participants were distributed into five groups: control, passive smokers, and three hookah smoker groups. Samples of blood from all groups were examined for Malondialdehyde (MDA) level and exfoliated buccal cells were examined thorough micronucleus (MN) test for frequencies of nuclear abnormalities including Micronucleus (MN), Binucleates (BN) and Karyolysis (KL), were evaluated as well. Frequencies of all nuclear abnormalities Micronucleus (MN), Binucleates (BN) and Karyolysis significantly increased in all exposed groups compared to the control group and the effect was exposure duration dependent. Malondialdehyde level also significantly increased in all exposed groups compared to the control group and the effect was exposure duration dependent.","PeriodicalId":33491,"journal":{"name":"mjl@ ltrby@ wl`lm","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44562415","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}
Pub Date : 2022-03-01DOI: 10.33899/edusj.2022.131963.1195
M. Hussien, Abeer M Bader
In this paper an improved phonon imaging for GaP has been calculated, this crystal is one of III-V group. In the presence of piezoelectric properties, the computation treatment is based on increasing the number of points in the reduced Brillouin zone and increasing the size of the phonon image matrix. The phonon images can be calculated by large number of points in the reduced Brillouin zone which represent the wave vectors and these vectors can be transformed to group velocity vectors using Christoffel equation, these set of group velocity vectors can be projected in a certain direction to form the phonon image. A program was prepared in MATLAB language to calculate these images by determining the number of points in the reduced zone and determining the size of the matrix that represents the phonon images in addition to the direction of the projections. To calculate the phonon images in the presence of the effect of the piezoelectric properties, it is through the presence of the k44 factor, which indicated of the influence of the piezoelectric properties on the phonon images. The results showed that the size of the image matrix is more effective factor than the number of points in the reduced Brillouin zone especially when the number of points is greater than 8 × 10 points, and when the number of points less than 10 points all the obtained phonon images is not clear. Key word: phonon images, piezoelectric crystals, phonon images of GaP, cubic crystal, calculation of phonon images تارولبل ةينونوفلا روصلا باسح ةءافك نيسحت GaP ةيئابرهكوزيبلا ميهاربا ردب ريبع 1 * ، نيسح حلاص دمحم زاتمم 2 1 * ىونين ةظفاحم ةيبرتل ةماعلا ةيريدملا 2 ءايزيفلا مسق – ةفرصلا مولعلل ةيبرتلا ةيلك لصوملا ةعماج صخلملا مت ةرولبل ةينونوفلا روصلا نيسحتو باسح ثحبلا اذه يف GaP ، ةثلاثلا ةعومجملا نمض ةرولبلا هذهو ةسماخلا . صئاصخلا دوجوبو ةيئابرهكوزيبلا ةدايز ىلع ةيباسحلا ةجلاعملا تدمتعا ةينونوفلا روصلل ةفوفصملا مجح ةدايزو ةلزتخملا نويلرب ةقطنم يف طاقنلا ددع . بستحت ) 46 1 137 ( 2 , 202 01 , No: 31 125X), Vol: Journal of Education and Science (ISSN 1812 138 ةينونوفلا روصلا نيوكتب ةقطنملا يف ةجوملا تاهجتم نم ةريبك دادعا ةلزتخملا ةجوملا تاهجتم لثمت يتلاو مادختساب تاهجتملا هذه ليوحتو اسم داجياو ةعومجملا عرس تاهجتم ىلا لفوتسيرك ةلداعم ةينونوفلا روصلا ليكشتل نيعم هاجتاب تاهجتملا هذه طق . دعأ لا ةغلب جمانرب MATLAB ةينونوفلا روصلا لثمت يتلا ةفوفصملا مجح ديدحتو ةلزتخملا ةقطنملا يف طاقنلا ددع ديدحت للاخ نم روصلا هذه باسحل طقاسملا هاجتا ىلا ةفاضا . لماعلا دوجو للاخ نم نوكي ةيئابرهكوزيبلا صئاصخلا ريثات دوجوب ةينونوفلا روصلا باسحلو k44 يذلاو دعي ةينونوفلا روصلا يف ةيئابرهكوزيبلا صئاصخلا ريثات ىدمل حضاو رشؤم . ةحضاو روص ىلع لوصحلل رثؤملا لماعلا نا جئاتنلا تنيب ةفوفصم مجح وه ملاعملا ةروصلا ددع نوكت امدنع نم ربكا طاقنلا 8 × 10 ددع لقي امدنع ةحضاو روص لوصحلا متي لاو ةطقن نع طاقنلا 10 ةطقن . :ةلادلا تاملكلا ا ،ةينونوفلا روصلا ةيئابرهكوزيبلا تا رولبل ـل ةينونوفلا روصلا ، GaP ح ،ةبعكملا تا رولبلا ، ةينونوفلا روصلا باس . :ةمدقملا نم ةيرا رحلا ةضبنلا براجت دعت ةبلصلا داوملا ةسا رد يف ةمهملا لئاسولا ، ةرا
{"title":"Enhancement Efficiency of Calculation of the Phonon Images for GaP Piezoelectric Crystal","authors":"M. Hussien, Abeer M Bader","doi":"10.33899/edusj.2022.131963.1195","DOIUrl":"https://doi.org/10.33899/edusj.2022.131963.1195","url":null,"abstract":"In this paper an improved phonon imaging for GaP has been calculated, this crystal is one of III-V group. In the presence of piezoelectric properties, the computation treatment is based on increasing the number of points in the reduced Brillouin zone and increasing the size of the phonon image matrix. The phonon images can be calculated by large number of points in the reduced Brillouin zone which represent the wave vectors and these vectors can be transformed to group velocity vectors using Christoffel equation, these set of group velocity vectors can be projected in a certain direction to form the phonon image. A program was prepared in MATLAB language to calculate these images by determining the number of points in the reduced zone and determining the size of the matrix that represents the phonon images in addition to the direction of the projections. To calculate the phonon images in the presence of the effect of the piezoelectric properties, it is through the presence of the k44 factor, which indicated of the influence of the piezoelectric properties on the phonon images. The results showed that the size of the image matrix is more effective factor than the number of points in the reduced Brillouin zone especially when the number of points is greater than 8 × 10 points, and when the number of points less than 10 points all the obtained phonon images is not clear. Key word: phonon images, piezoelectric crystals, phonon images of GaP, cubic crystal, calculation of phonon images تارولبل ةينونوفلا روصلا باسح ةءافك نيسحت GaP ةيئابرهكوزيبلا ميهاربا ردب ريبع 1 * ، نيسح حلاص دمحم زاتمم 2 1 * ىونين ةظفاحم ةيبرتل ةماعلا ةيريدملا 2 ءايزيفلا مسق – ةفرصلا مولعلل ةيبرتلا ةيلك لصوملا ةعماج صخلملا مت ةرولبل ةينونوفلا روصلا نيسحتو باسح ثحبلا اذه يف GaP ، ةثلاثلا ةعومجملا نمض ةرولبلا هذهو ةسماخلا . صئاصخلا دوجوبو ةيئابرهكوزيبلا ةدايز ىلع ةيباسحلا ةجلاعملا تدمتعا ةينونوفلا روصلل ةفوفصملا مجح ةدايزو ةلزتخملا نويلرب ةقطنم يف طاقنلا ددع . بستحت ) 46 1 137 ( 2 , 202 01 , No: 31 125X), Vol: Journal of Education and Science (ISSN 1812 138 ةينونوفلا روصلا نيوكتب ةقطنملا يف ةجوملا تاهجتم نم ةريبك دادعا ةلزتخملا ةجوملا تاهجتم لثمت يتلاو مادختساب تاهجتملا هذه ليوحتو اسم داجياو ةعومجملا عرس تاهجتم ىلا لفوتسيرك ةلداعم ةينونوفلا روصلا ليكشتل نيعم هاجتاب تاهجتملا هذه طق . دعأ لا ةغلب جمانرب MATLAB ةينونوفلا روصلا لثمت يتلا ةفوفصملا مجح ديدحتو ةلزتخملا ةقطنملا يف طاقنلا ددع ديدحت للاخ نم روصلا هذه باسحل طقاسملا هاجتا ىلا ةفاضا . لماعلا دوجو للاخ نم نوكي ةيئابرهكوزيبلا صئاصخلا ريثات دوجوب ةينونوفلا روصلا باسحلو k44 يذلاو دعي ةينونوفلا روصلا يف ةيئابرهكوزيبلا صئاصخلا ريثات ىدمل حضاو رشؤم . ةحضاو روص ىلع لوصحلل رثؤملا لماعلا نا جئاتنلا تنيب ةفوفصم مجح وه ملاعملا ةروصلا ددع نوكت امدنع نم ربكا طاقنلا 8 × 10 ددع لقي امدنع ةحضاو روص لوصحلا متي لاو ةطقن نع طاقنلا 10 ةطقن . :ةلادلا تاملكلا ا ،ةينونوفلا روصلا ةيئابرهكوزيبلا تا رولبل ـل ةينونوفلا روصلا ، GaP ح ،ةبعكملا تا رولبلا ، ةينونوفلا روصلا باس . :ةمدقملا نم ةيرا رحلا ةضبنلا براجت دعت ةبلصلا داوملا ةسا رد يف ةمهملا لئاسولا ، ةرا ","PeriodicalId":33491,"journal":{"name":"mjl@ ltrby@ wl`lm","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46835889","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}
Pub Date : 2022-03-01DOI: 10.33899/edusj.2022.132290.1202
M. Younis, Anwer Al-khero
Root Rot disease is one of important disease which caused great damage for Biota orientails and this was evident in the private forest nurseries in Mosul, for three nurseries in the Al-Faisaliah area, three nurseries in the Muthanna area, one nursery in the Mohandessin area, as well as the Nineveh horticultural station during the field survey, this was through October and December of 2017 and February August of 2018.fungi were recorded like Fusarium solani Mart isolation ratia 36.85% ,Macrophomina phaseolina Tassi Goid islalation ratia 22.34% and Rhzoctonia solani Khun islalation ratia 26.89% which Isolated from Biota orientails seedling . Results of pathogenicity tests showed Fusarium solani was had high pathogenicity (50%) Biota orientails seedling and the fungus was very effective at growth characteristics. study of Eucalyptus camaldulnsis leaves Extracts effect at the growth of Isolated fungi The results showed the superiority of the alcoholic extract in inhibiting the growth of the isolates fungi compared to the aqueous extract and for all concentrations except for the fungus R. solani, which was uniquely significantly inhibited by the effect of the aqueous leaf extract of Eucalyptus.
{"title":"Effect of aqueous and alcoholic extract of Eucalyptus camaldulensis Dehn leaves in growth of root rot fungi of Biota orientails L. in vitro","authors":"M. Younis, Anwer Al-khero","doi":"10.33899/edusj.2022.132290.1202","DOIUrl":"https://doi.org/10.33899/edusj.2022.132290.1202","url":null,"abstract":"Root Rot disease is one of important disease which caused great damage for Biota orientails and this was evident in the private forest nurseries in Mosul, for three nurseries in the Al-Faisaliah area, three nurseries in the Muthanna area, one nursery in the Mohandessin area, as well as the Nineveh horticultural station during the field survey, this was through October and December of 2017 and February August of 2018.fungi were recorded like Fusarium solani Mart isolation ratia 36.85% ,Macrophomina phaseolina Tassi Goid islalation ratia 22.34% and Rhzoctonia solani Khun islalation ratia 26.89% which Isolated from Biota orientails seedling . Results of pathogenicity tests showed Fusarium solani was had high pathogenicity (50%) Biota orientails seedling and the fungus was very effective at growth characteristics. study of Eucalyptus camaldulnsis leaves Extracts effect at the growth of Isolated fungi The results showed the superiority of the alcoholic extract in inhibiting the growth of the isolates fungi compared to the aqueous extract and for all concentrations except for the fungus R. solani, which was uniquely significantly inhibited by the effect of the aqueous leaf extract of Eucalyptus.","PeriodicalId":33491,"journal":{"name":"mjl@ ltrby@ wl`lm","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48615722","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}
Pub Date : 2022-03-01DOI: 10.33899/edusj.2021.131895.1192
A. Ali, A. Taqa
The Web provides various kinds of data and applications that are readily available to explore and are considered a powerful tool for humans. Copyright violation in web documents occurs when there is an unauthorized copy of the information or text from the original document on the web; this violation is known as Plagiarism. Plagiarism Detection (PD)can be defined as the procedure that finds similarities between a document and other documents based on lexical, semantic, and syntactic textual features. The approaches for numeric representation (vectorization) of text like Vector Space Model (VSM) and word embedding along with text similarity measures such as cosine and jaccard are very necessary for plagiarism detection. This paper deals with the concepts of plagiarism, kinds of plagiarism, textual features, text similarity measures, and plagiarism detection methods, which are based on intelligent or traditional techniques. Furthermore, different types of traditional and algorithms of deep learning for instance, Convolutional Neural Network (CNN) and Long ShortTerm Memory (LSTM) are discussed as a plagiarism detector. Besides that, this work reviews many other papers that give attention to the topic of Plagiarism and its detection.
{"title":"Analytical Study of Traditional and Intelligent Textual Plagiarism Detection Approaches","authors":"A. Ali, A. Taqa","doi":"10.33899/edusj.2021.131895.1192","DOIUrl":"https://doi.org/10.33899/edusj.2021.131895.1192","url":null,"abstract":"The Web provides various kinds of data and applications that are readily available to explore and are considered a powerful tool for humans. Copyright violation in web documents occurs when there is an unauthorized copy of the information or text from the original document on the web; this violation is known as Plagiarism. Plagiarism Detection (PD)can be defined as the procedure that finds similarities between a document and other documents based on lexical, semantic, and syntactic textual features. The approaches for numeric representation (vectorization) of text like Vector Space Model (VSM) and word embedding along with text similarity measures such as cosine and jaccard are very necessary for plagiarism detection. This paper deals with the concepts of plagiarism, kinds of plagiarism, textual features, text similarity measures, and plagiarism detection methods, which are based on intelligent or traditional techniques. Furthermore, different types of traditional and algorithms of deep learning for instance, Convolutional Neural Network (CNN) and Long ShortTerm Memory (LSTM) are discussed as a plagiarism detector. Besides that, this work reviews many other papers that give attention to the topic of Plagiarism and its detection.","PeriodicalId":33491,"journal":{"name":"mjl@ ltrby@ wl`lm","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43677260","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}
Pub Date : 2021-12-01DOI: 10.33899/EDUSJ.2021.130962.1181
A. Al-Nuaimi, Ghassan Mohmmed
The detection and tracking of head movements have been such an active area of research during the past years. This area contributes highly to computer vision and has many applications of computer vision. Thus, several methods and algorithms of face detection have been proposed because they are required in most modern applications, in which they act as the cornerstone in many interactive projects. Implementation of the detected angles of the head direction is very useful in many fields, such as disabled people assistance, criminal behavior tracking, and other medical applications. In this paper, a new method is proposed to estimate the angles of head direction based on Dlib face detection algorithm that predicts 68 landmarks in the human face. The calculations are mainly based on the predicated landmarks to estimate three types of angles Yaw, Pitch and Roll. A python program has been designed to perform face detection and its direction. To ensure accurate estimation, the particular landmarks were selected, such that, they are not affected by the movement of the head, so, the calculated angles are approximately accurate. The experimental results showed high accuracy measures for the entire three angles according to real and predicted measures. The sample standard deviation results for each real and calculated angle were Yaw (0.0046), Pitch (0.0077), and Roll (0.0021), which confirm the accuracy of the proposed method compared with other studies. Moreover, the method performs faster which promotes accurate online tracking.
{"title":"A New Method for Head Direction Estimation based on Dlib Face Detection Method and Implementation of Sine Invers Function","authors":"A. Al-Nuaimi, Ghassan Mohmmed","doi":"10.33899/EDUSJ.2021.130962.1181","DOIUrl":"https://doi.org/10.33899/EDUSJ.2021.130962.1181","url":null,"abstract":"The detection and tracking of head movements have been such an active area of research during the past years. This area contributes highly to computer vision and has many applications of computer vision. Thus, several methods and algorithms of face detection have been proposed because they are required in most modern applications, in which they act as the cornerstone in many interactive projects. Implementation of the detected angles of the head direction is very useful in many fields, such as disabled people assistance, criminal behavior tracking, and other medical applications. In this paper, a new method is proposed to estimate the angles of head direction based on Dlib face detection algorithm that predicts 68 landmarks in the human face. The calculations are mainly based on the predicated landmarks to estimate three types of angles Yaw, Pitch and Roll. A python program has been designed to perform face detection and its direction. To ensure accurate estimation, the particular landmarks were selected, such that, they are not affected by the movement of the head, so, the calculated angles are approximately accurate. The experimental results showed high accuracy measures for the entire three angles according to real and predicted measures. The sample standard deviation results for each real and calculated angle were Yaw (0.0046), Pitch (0.0077), and Roll (0.0021), which confirm the accuracy of the proposed method compared with other studies. Moreover, the method performs faster which promotes accurate online tracking.","PeriodicalId":33491,"journal":{"name":"mjl@ ltrby@ wl`lm","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41547021","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}
Pub Date : 2021-12-01DOI: 10.33899/edusj.2021.131302.1188
Samar Alhayale, Mohammed Al-shakarchi
{"title":"Genetic diagnosis of some root nodule bacteria isolated from leguminous Plants in Nineveh Governorate","authors":"Samar Alhayale, Mohammed Al-shakarchi","doi":"10.33899/edusj.2021.131302.1188","DOIUrl":"https://doi.org/10.33899/edusj.2021.131302.1188","url":null,"abstract":"","PeriodicalId":33491,"journal":{"name":"mjl@ ltrby@ wl`lm","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46264119","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}
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