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Debre Markos University offers a Browse by Title feature within its Institutional Research Repository System that enables users to easily find and access academic research outputs by their titles. This feature organizes theses, dissertations, and other scholarly works alphabetically or by keyword in the title, allowing researchers, students, and the community to quickly locate specific documents when they know all or part of a title. By focusing on titles, users can efficiently explore the repository's collection and discover relevant research materials without needing to search by author or department.

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Identification of hateful amharic language memes on facebook using deep learning algorithms
Journal Article
Mequanent Degu Belete , Girma Kassa Alitasb * • Submitted: Apr 24, 2025
Institute of Technology Electrical and Computer Engineering
Abstract Preview:
Hate speech has been disseminated more frequently on social media sites like Facebook in recent years. OnFacebook, hate speech can proliferate through text, image, or video. We suggested a deep learning approach toidentify offensive memes posted on Facebook in case of Amharic language’. The research process commenced bymanually gathering memes posted by Facebook users. Next came textual data extraction, annotation, pre-processing, splitting, feature extraction, model development and assessment Amharic OCRs were employed toextract textual data. Character normalization, stop word removal, and unnecessary character removal make upthe text-preprocessing step. Using Stratified KFold the textual dataset is split into the train set (80 %), thevalidation set (10 %) and the test set (10 %). Vectors are created from the preprocessed texts using the Bog ofwords (BOW), TFIDF and word embeddings. Following that, the vectors are fed into Machine learning algo-rithms: NB, DT, RF, KNN, LSVM and LR, and deep learning models that are based on Dense, BiGRU, and BiLSTMalgorithms. The model with the optimal parameters is chosen after numerous experiments. With an accuracy rateof 94 %, the BiLSTM + Dense model, the suggested technique identified nasty meme posts on Facebook written inAmharic.
Keywords: Deep learning, BILSTM, BIGRU, Amharic language hate speech
Full Abstract:
Hate speech has been disseminated more frequently on social media sites like Facebook in recent years. OnFacebook, hate speech can proliferate through text, image, or video. We suggested a deep learning approach toidentify offensive memes posted on Facebook in case of Amharic language’. The research process commenced bymanually gathering memes posted by Facebook users. Next came textual data extraction, annotation, pre-processing, splitting, feature extraction, model development and assessment Amharic OCRs were employed toextract textual data. Character normalization, stop word removal, and unnecessary character removal make upthe text-preprocessing step. Using Stratified KFold the textual dataset is split into the train set (80 %), thevalidation set (10 %) and the test set (10 %). Vectors are created from the preprocessed texts using the Bog ofwords (BOW), TFIDF and word embeddings. Following that, the vectors are fed into Machine learning algo-rithms: NB, DT, RF, KNN, LSVM and LR, and deep learning models that are based on Dense, BiGRU, and BiLSTMalgorithms. The model with the optimal parameters is chosen after numerous experiments. With an accuracy rateof 94 %, the BiLSTM + Dense model, the suggested technique identified nasty meme posts on Facebook written inAmharic.
Keywords: Deep learning, BILSTM, BIGRU, Amharic language hate speech
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Impact of Land Use and Land Cover Change on Soil Erosion in Dondor Watershed, Blue Nile Basin, Northwestern Ethiopia
Journal Article
Liyew Birhanu , Yared Mekonen, Abineh Tilahun, Nigussie Amsalu and Heiko Balzter • Submitted: Nov 28, 2024
Natural & Computational Sciences Biology
Abstract Preview:
Abstract: Understanding how land use and land cover (LULC) changes affect soil erosion is essentialfor effective management of watershed areas. This study used Geographic Information Systems(GISs) and the Revised Universal Soil Loss Equation (RUSLE) model to analyze the impact of LULCchanges on soil erosion in the Dondor Watershed. Remote sensing data, including Landsat andSentinel-2 satellite images, alongside field surveys, topographic data, rainfall, and soil data wereused. The results showed agricultural land as the primary LULC type, increasing from 43.49% in2002 to 59.10% in 2023. Forest and built-up areas also expanded, while grassland decreased. Soilerosion estimates revealed that more than 85% of the watershed experienced very slight erosionthough the average annual soil loss increased from 4.98 t haāˆ’1 yearāˆ’1 in 2002 to 7.96 t haāˆ’1 yearāˆ’1in 2023. Agriculture and built-up areas were identified as the primary contributors to erosion. Thisstudy underscores the importance of monitoring LULC dynamics for responsible land managementand conservation efforts in the watershed.Keywords: Dondor watershed; land use land cover change; soil erosion; RUSLE
Full Abstract:
Abstract: Understanding how land use and land cover (LULC) changes affect soil erosion is essentialfor effective management of watershed areas. This study used Geographic Information Systems(GISs) and the Revised Universal Soil Loss Equation (RUSLE) model to analyze the impact of LULCchanges on soil erosion in the Dondor Watershed. Remote sensing data, including Landsat andSentinel-2 satellite images, alongside field surveys, topographic data, rainfall, and soil data wereused. The results showed agricultural land as the primary LULC type, increasing from 43.49% in2002 to 59.10% in 2023. Forest and built-up areas also expanded, while grassland decreased. Soilerosion estimates revealed that more than 85% of the watershed experienced very slight erosionthough the average annual soil loss increased from 4.98 t haāˆ’1 yearāˆ’1 in 2002 to 7.96 t haāˆ’1 yearāˆ’1in 2023. Agriculture and built-up areas were identified as the primary contributors to erosion. Thisstudy underscores the importance of monitoring LULC dynamics for responsible land managementand conservation efforts in the watershed.Keywords: Dondor watershed; land use land cover change; soil erosion; RUSLE
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Impact of Teff commercialization on smallholder farmers’ food security in Northwestern, Ethiopia
Journal Article
Desyalew Assefa , Bosena Tegegne Delele, and Abateneh Molla • Submitted: Sep 10, 2024
Agriculture and Natural resources Agriculural Economics
Abstract Preview:
Teff, a versatile crop, serves both as a food source and a cash crop in ethiopia. it is recognizedfor its potential to enhance the income of smallholder farmers, improve food security, andcontribute to sustainable development goals. This study aims to assess the impact of Teffcommercialization by smallholder farmers on food security. Both primary and secondary datawere used using the 2020/2021 cropping season. a three-stage sampling procedure was usedto draw 352 sample households. Food security was assessed using proxy indicators: householddietary diversity and food consumption score. The descriptive statistical results showed that182 (51.7%) and 170 (48.3%) sample households were subsistence, and commercializedhousehold heads respectively. notably, commercial farmers exhibited better household dietarydiversity (91.2%), whereas subsistence farmers scored lower in terms of food consumption(29.1%). Male household headship reduced hddS for commercializing farmers (āˆ’1.6); creditusage boosted hddS for commercialized groups (1.1), and livestock ownership improvedhddS for subsistence groups (0.21) in the second-stage endogenous switching regression.The model result also showed that, Teff commercialization positively impacted hddS and FcS,with average treatment effects of 3.81 and 4.46, respectively. Transitional heterogeneity resultsshowed that commercialized farmers had lower household dietary diversity (āˆ’0.47) and lowerfood consumption score (āˆ’14.19) than subsistence households. in light of these findings,encouraging smallholder farmers to transition from subsistence production to commercializationis crucial for supplementing their overall production. additionally, government efforts shouldfocus on raising awareness about nutrition-sensitive agricultural practices.
KEYWORDS: commercialization; endogenous Switching; Regression Model; Food Security; Smallholder; Teff
Full Abstract:
Teff, a versatile crop, serves both as a food source and a cash crop in ethiopia. it is recognizedfor its potential to enhance the income of smallholder farmers, improve food security, andcontribute to sustainable development goals. This study aims to assess the impact of Teffcommercialization by smallholder farmers on food security. Both primary and secondary datawere used using the 2020/2021 cropping season. a three-stage sampling procedure was usedto draw 352 sample households. Food security was assessed using proxy indicators: householddietary diversity and food consumption score. The descriptive statistical results showed that182 (51.7%) and 170 (48.3%) sample households were subsistence, and commercializedhousehold heads respectively. notably, commercial farmers exhibited better household dietarydiversity (91.2%), whereas subsistence farmers scored lower in terms of food consumption(29.1%). Male household headship reduced hddS for commercializing farmers (āˆ’1.6); creditusage boosted hddS for commercialized groups (1.1), and livestock ownership improvedhddS for subsistence groups (0.21) in the second-stage endogenous switching regression.The model result also showed that, Teff commercialization positively impacted hddS and FcS,with average treatment effects of 3.81 and 4.46, respectively. Transitional heterogeneity resultsshowed that commercialized farmers had lower household dietary diversity (āˆ’0.47) and lowerfood consumption score (āˆ’14.19) than subsistence households. in light of these findings,encouraging smallholder farmers to transition from subsistence production to commercializationis crucial for supplementing their overall production. additionally, government efforts shouldfocus on raising awareness about nutrition-sensitive agricultural practices.
KEYWORDS: commercialization; endogenous Switching; Regression Model; Food Security; Smallholder; Teff
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Impacts of Teaching Quality on Student Achievement: Student Evidence
Journal Article
Mengistu Anagaw Engida1*, Ashagrie Sharew Iyasu2 and Yalemwork Mossu Fentie1 • Submitted: Jul 24, 2024
Social Science and Humanities English Language and Literatures
Abstract Preview:
Studies indicate that students who have access to highly qualified teachers tendto achieve at a higher rate, regardless of other factors. However, the essenceof quality teaching and teacher quality has not been adequately establishedin these studies. Nonetheless, recent developments favoring integrationshave led to three lines of teaching quality research: professional standards,value-added measures, and student evaluations. This study explores howthe quality of mathematics and English language teachers is associated withstudents’ achievement using a professional standard observation tool for studentevaluation. A representative multistage sample of students and teachers selectedfrom high schools in the East Gojjam Administrative Zone participated in thestudy. By using the domains in the Framework for Teaching (FfT) as indicatorsof teaching quality, the study identified the indicators that are associated withthe academic achievement of students in mathematics and English subjects. Amultiple linear regression analysis was used to study the relationships betweenthe independent variables (teachers’ quality indicators) and the dependentvariable (students’ grade 10 exam scores). Of the four domains of FfT, the deliveryof instruction revealed a positive and significant association (sig = 016) withstudents’ scores in the English language. The delivery of instruction encompassescommunicating with students, using questioning and discussion techniques,and demonstrating flexibility and responsiveness, which are positively associatedwith students’ scores in the English language. Conversely, managing classroomprocedures was the only subdomain associated (sig = 014) with an increasein students’ mathematics scores. Accordingly, suggestions are made for furtherresearch and practice.KEYWORDS: teacher quality, FFT, achievement, domains, effectiveness
Full Abstract:
Studies indicate that students who have access to highly qualified teachers tendto achieve at a higher rate, regardless of other factors. However, the essenceof quality teaching and teacher quality has not been adequately establishedin these studies. Nonetheless, recent developments favoring integrationshave led to three lines of teaching quality research: professional standards,value-added measures, and student evaluations. This study explores howthe quality of mathematics and English language teachers is associated withstudents’ achievement using a professional standard observation tool for studentevaluation. A representative multistage sample of students and teachers selectedfrom high schools in the East Gojjam Administrative Zone participated in thestudy. By using the domains in the Framework for Teaching (FfT) as indicatorsof teaching quality, the study identified the indicators that are associated withthe academic achievement of students in mathematics and English subjects. Amultiple linear regression analysis was used to study the relationships betweenthe independent variables (teachers’ quality indicators) and the dependentvariable (students’ grade 10 exam scores). Of the four domains of FfT, the deliveryof instruction revealed a positive and significant association (sig = 016) withstudents’ scores in the English language. The delivery of instruction encompassescommunicating with students, using questioning and discussion techniques,and demonstrating flexibility and responsiveness, which are positively associatedwith students’ scores in the English language. Conversely, managing classroomprocedures was the only subdomain associated (sig = 014) with an increasein students’ mathematics scores. Accordingly, suggestions are made for furtherresearch and practice.KEYWORDS: teacher quality, FFT, achievement, domains, effectiveness
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Incidence of recovery rate and predictors among hospitalized COVID- 19 infected patients in Ethiopia; a systemic review and meta-analysis
Journal Article
Fassikaw Kebede Bizuneh 1 , Getaye Tizazu Biwota 2 , Tsheten Tsheten 3 , Tsehay Kebede Bizuneh 4 • Submitted: May 03, 2025
College of Health Science Public Health
Abstract Preview:
Background Despite global efforts to mitigate COVID-19 infection through vaccination and therapeutic interven-tions, morbidity and mortality rates continued at variable rates. Although mortality risk and clinical features of COVID-19 are well-documented, recovery patterns and prognostic factors post-admission remain inconclusive, particu-larly in resource-limited settings like Ethiopia. This systematic review and meta-analysis (SRM) aimed to estimatethe pooled incidence rate of recovery and predictors among hospitalized COVID-19 patients in Ethiopia.Methods We searched (N = 1,191) articles using Preferred Reporting Items for Systematic Reviews and Meta-Anal-yses (PRISMA) guideline from PubMed/MEDLINE (N = 755), Scopus (N = 137), Web of Science (N = 84), Science Direct(N = 148), Cochran (N = 25), and Google Scholar searching (N = 42) from December 2019 to February 2024. The datawere extracted using a Microsoft Excel spreadsheet and exported to Stata TM version 17.0 for further analysis. The Arti-cle quality was assessed using the Joanna Briggs Institute checklist. The pooled incidence rate of recovery was esti-mated using a weighted inverse variance random-effects meta-regression. Heterogeneity among studies was evalu-ated using the I2 statistic. Subgroup analyses and sensitivity tests were also conducted to explore publication bias. Thisfile is registered in international Prospero with ID (CRD42024518569).Result Sixteen (N = 16) published studies with 7,676 hospitalized COVID-19 patients were included in the finalreport. The mean age of participants ranged from 29 (± 17) to 57.5 (± 3) years, with male patients constitutingthe largest proportion of participants, 4,491(58.5%). During recovery screening, 6,304(82.21%) cases were dischargedas improved, 159 (2.1%) attriters, and 818 (10.6%) died during inpatient treatment. The pooled incidence of recovery,mortality, and attrition rates were found to be 82.32% (95% CI: 78.81–85.83; I 2 = 94.8%), 14.3% (I2 = 98.45%), and 2.7%(I 2 = 81.34%), respectively. Incidence of recovery rate varied across regions and epidemic phases, with the highest rateobserved in Addis Ababa (89.94%, I 2 = 78.33%) and the lowest reported in the Tigray region (59.7%, I2 = 0.0%). Acrossepidemic phases, the recovery rate was 88.05% (I 2 = 29.56%) in Phase II, 84.09% (I2 = 97.57%) in Phase I, and 78.92%(I 2 = 96.9%) in Phase III, respectively. Factors included being aged 15–30 years (pooled OR = 2.01), male sex (pooledOR = 1.46), no dyspnea (pooled OR = 2.4; I 2 = 79%), and no baseline comorbidities (pooled OR = 1.15; I2 = 89.3%) werepredictors for recovery.Conclusion and recommendation In Ethiopia, more than eight out of ten hospitalized COVID-19 patientsrecovered after inpatient treatment. However, the incidence of recovery rates varied significantly across epidemicphases, study settings, and regions. Factors including younger age, male sex, no dyspnea (shortness of breathing), and no underlying comorbidity heightened recovery. It is highly recommended those inpatients cares should focuson high-risk groups (older adults) and implement standardized treatment protocols in each study setting. Regionswith lower recovery rates need aid in logistical support and training for healthcare providers.Keywords Admitted patients, COVID-19 infection, Ethiopia, SARS-CoV- 2 cases
Full Abstract:
Background Despite global efforts to mitigate COVID-19 infection through vaccination and therapeutic interven-tions, morbidity and mortality rates continued at variable rates. Although mortality risk and clinical features of COVID-19 are well-documented, recovery patterns and prognostic factors post-admission remain inconclusive, particu-larly in resource-limited settings like Ethiopia. This systematic review and meta-analysis (SRM) aimed to estimatethe pooled incidence rate of recovery and predictors among hospitalized COVID-19 patients in Ethiopia.Methods We searched (N = 1,191) articles using Preferred Reporting Items for Systematic Reviews and Meta-Anal-yses (PRISMA) guideline from PubMed/MEDLINE (N = 755), Scopus (N = 137), Web of Science (N = 84), Science Direct(N = 148), Cochran (N = 25), and Google Scholar searching (N = 42) from December 2019 to February 2024. The datawere extracted using a Microsoft Excel spreadsheet and exported to Stata TM version 17.0 for further analysis. The Arti-cle quality was assessed using the Joanna Briggs Institute checklist. The pooled incidence rate of recovery was esti-mated using a weighted inverse variance random-effects meta-regression. Heterogeneity among studies was evalu-ated using the I2 statistic. Subgroup analyses and sensitivity tests were also conducted to explore publication bias. Thisfile is registered in international Prospero with ID (CRD42024518569).Result Sixteen (N = 16) published studies with 7,676 hospitalized COVID-19 patients were included in the finalreport. The mean age of participants ranged from 29 (± 17) to 57.5 (± 3) years, with male patients constitutingthe largest proportion of participants, 4,491(58.5%). During recovery screening, 6,304(82.21%) cases were dischargedas improved, 159 (2.1%) attriters, and 818 (10.6%) died during inpatient treatment. The pooled incidence of recovery,mortality, and attrition rates were found to be 82.32% (95% CI: 78.81–85.83; I 2 = 94.8%), 14.3% (I2 = 98.45%), and 2.7%(I 2 = 81.34%), respectively. Incidence of recovery rate varied across regions and epidemic phases, with the highest rateobserved in Addis Ababa (89.94%, I 2 = 78.33%) and the lowest reported in the Tigray region (59.7%, I2 = 0.0%). Acrossepidemic phases, the recovery rate was 88.05% (I 2 = 29.56%) in Phase II, 84.09% (I2 = 97.57%) in Phase I, and 78.92%(I 2 = 96.9%) in Phase III, respectively. Factors included being aged 15–30 years (pooled OR = 2.01), male sex (pooledOR = 1.46), no dyspnea (pooled OR = 2.4; I 2 = 79%), and no baseline comorbidities (pooled OR = 1.15; I2 = 89.3%) werepredictors for recovery.Conclusion and recommendation In Ethiopia, more than eight out of ten hospitalized COVID-19 patientsrecovered after inpatient treatment. However, the incidence of recovery rates varied significantly across epidemicphases, study settings, and regions. Factors including younger age, male sex, no dyspnea (shortness of breathing), and no underlying comorbidity heightened recovery. It is highly recommended those inpatients cares should focuson high-risk groups (older adults) and implement standardized treatment protocols in each study setting. Regionswith lower recovery rates need aid in logistical support and training for healthcare providers.Keywords Admitted patients, COVID-19 infection, Ethiopia, SARS-CoV- 2 cases
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Inoculation of Erythrina brucei with plant-beneficial microbial consortia enhanced its growth and improved soil nitrogen and phosphorous status when applied as green manure
Journal Article
Belay Berza Beyene a,*, Fassil Assefa Tuji b • Submitted: Apr 29, 2024
Natural & Computational Sciences Biology
Abstract Preview:
Erythrina brucei has been applied as a green manure to improve soil fertility in southern Ethiopia.It has been nodulated by indigenous rhizobia. The objectives of this study were to evaluate theeffects of E. brucei inoculation with microbial consortia consisted of Bradyrhizobium shewense,Acinetobacter soli and arbuscular mycorrhizal fungi (AMF)on E. brucei growth, soil nitrogen andphosphorous status after application as a green manure.A field experiment was conducted byinoculating E. Brucei with different microbial consortia. E. brucei inoculated with the microbialconsortia were grown for 150 days. Its shoot length was measured at 60, 90, 120 and 150 daysafter planting. Then, plants were uprooted and mulched as a green manure. The soil nitrogen,available phosphorous and soil organic matter analysis were done. The experimental design wascompletely randomized block design with eight treatments comprised of three replications.Inoculated treatments did not show a significant (p < 0.05) difference in shoot length in the first60 days. However, shoot length was increased between 19.1 and 41.3 %, 10.5–43.4 % and8.7–37.6 %, respectively at 90, 120 and 150 days. The soil organic matter was improved in bothinoculated and un-inoculated treatments. The improvements in the soil organic matter of un-inoculated treatments may be due to the decomposition of un-inoculated plants biomass in thesoil. The B. shewense inoculation improved the soil nitrogen by 17 %. The soil phosphorous wasimproved in 57 % of inoculated treatments. The inoculation of E. brucei with microbial consortiaenhanced its growth and improved soil fertility when applied as a green manure. Inoculating thegreen manure legumes with symbiotically effective rhizobia and plant-beneficial microbes canenhance the growth of E. brucei and its nutrient uptake.
Keywords: Legumes, Soil fertility, Shoot length, Microbial inputs, Organic matter
Full Abstract:
Erythrina brucei has been applied as a green manure to improve soil fertility in southern Ethiopia.It has been nodulated by indigenous rhizobia. The objectives of this study were to evaluate theeffects of E. brucei inoculation with microbial consortia consisted of Bradyrhizobium shewense,Acinetobacter soli and arbuscular mycorrhizal fungi (AMF)on E. brucei growth, soil nitrogen andphosphorous status after application as a green manure.A field experiment was conducted byinoculating E. Brucei with different microbial consortia. E. brucei inoculated with the microbialconsortia were grown for 150 days. Its shoot length was measured at 60, 90, 120 and 150 daysafter planting. Then, plants were uprooted and mulched as a green manure. The soil nitrogen,available phosphorous and soil organic matter analysis were done. The experimental design wascompletely randomized block design with eight treatments comprised of three replications.Inoculated treatments did not show a significant (p < 0.05) difference in shoot length in the first60 days. However, shoot length was increased between 19.1 and 41.3 %, 10.5–43.4 % and8.7–37.6 %, respectively at 90, 120 and 150 days. The soil organic matter was improved in bothinoculated and un-inoculated treatments. The improvements in the soil organic matter of un-inoculated treatments may be due to the decomposition of un-inoculated plants biomass in thesoil. The B. shewense inoculation improved the soil nitrogen by 17 %. The soil phosphorous wasimproved in 57 % of inoculated treatments. The inoculation of E. brucei with microbial consortiaenhanced its growth and improved soil fertility when applied as a green manure. Inoculating thegreen manure legumes with symbiotically effective rhizobia and plant-beneficial microbes canenhance the growth of E. brucei and its nutrient uptake.
Keywords: Legumes, Soil fertility, Shoot length, Microbial inputs, Organic matter
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Institutionally crafted Amhara-domination narrative: an existential threat to Amhara people
Journal Article
Dereje Melese Liyew • Submitted: Nov 10, 2025
Social Science and Humanities Political Science and International Relations
Abstract Preview:
Political narrative is an instrument for political actors to construct a shared meaning, and it can be harnessed to harm political opponents. The Italian invaders, the Ethiopian Student Movement, the Tigray People’s Liberation Front, the Oromo Liberation Front, and the incumbent regime contributed in varying degrees to the Amhara domination narrative. TPLF, in its political manifesto and later in the 1995 FDRE constitution, institutionally crafted an anti- Amhara narrative, reaching a crescendo after Abiy Ahmed assumed office in 2018. Thus, this research article tried to scrutinise and weigh the discourse of institutionally crafted Amhara existential threats. The study employed a qualitative research tradition and an exploratory research design approach that involved a political-economic analysis. The study finds that the century-old Amhara domination narrative, coupled with institutionally supported recurrent mass killings and expulsion, especially in Oromia, Benishangul- Gumuz, and Amhara regional states, posed a real and perceived existential threat that gave birth to the Amhara Fano armed struggle.KEYWORDS: Narrative; institution; existential threat; identity;Fano; Amhara
Full Abstract:
Political narrative is an instrument for political actors to construct a shared meaning, and it can be harnessed to harm political opponents. The Italian invaders, the Ethiopian Student Movement, the Tigray People’s Liberation Front, the Oromo Liberation Front, and the incumbent regime contributed in varying degrees to the Amhara domination narrative. TPLF, in its political manifesto and later in the 1995 FDRE constitution, institutionally crafted an anti- Amhara narrative, reaching a crescendo after Abiy Ahmed assumed office in 2018. Thus, this research article tried to scrutinise and weigh the discourse of institutionally crafted Amhara existential threats. The study employed a qualitative research tradition and an exploratory research design approach that involved a political-economic analysis. The study finds that the century-old Amhara domination narrative, coupled with institutionally supported recurrent mass killings and expulsion, especially in Oromia, Benishangul- Gumuz, and Amhara regional states, posed a real and perceived existential threat that gave birth to the Amhara Fano armed struggle.KEYWORDS: Narrative; institution; existential threat; identity;Fano; Amhara
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Integer PI, fractional PI and fractional PI data trained ANFIS speed controllers for indirect field oriented control of induction motor
Journal Article
Girma Kassa Alitasb • Submitted: Sep 13, 2024
Institute of Technology Electrical and Computer Engineering
Abstract Preview:
Induction motor drives with variable speed applications that employ vector control are quitepopular nowadays because they provide strong dynamic performance and flexible speed control.By decoupling the torque-producing current components of stator current from the rotor flux,Indirect Field Oriented Control is recognized for generating excellent performance in inductionmotor drives. This investigation is being done to show the effectiveness of the novel FPI input-output data-trained ANFIS controller and compare the three controllers’ performance in termsof load variation capabilities, motor parameter variation, and speed tracking. Consequently, acomparison of the three controllers is important to select which controller performs high in in-duction motor drive. Indirect Field Oriented Control of induction motor with Fractional Pro-portional Integral (FPI), Integer Proportional Integral (IPI), and Adaptive Neuro-Fuzzy InferenceSystem (ANFIS) controllers are all discussed in this work along with their designs and compar-ative analysis. The square of error was used as a fitness function to genetically optimize the FPIand IPI controller parameters. The suggested Adaptive Neuro-Fuzzy Inference System (ANFIS)controller uses a hybrid learning approach. It is trained by the FPI controller’s input-output data.Using the results of MATLAB simulations under various operating situations, the performance ofthe ANFIS controller was compared with FPI and IPI controllers. Because of FPI controller in-cludes an extra parameter for adjustment, namely integration order, it performed better than IPIcontroller for speed control of the induction motor. According to the simulation findings, thepercentage peak overshoots while employing ANFIS, FPI, and IPI controllers were 0.495 %,12.062 %, and 14.699 % respectively. As a result, ANFIS exhibits a drastic reduction in overshoot.Additionally, with the ANFIS controlled induction motor drive, the speed achieves the requiredset value at 0.14 s. For no load, constant, and changing loads, the induction motor drive’s per-formance has been examined.
Keywords: Induction motor, Indirect field oriented control, Fractional PI, ANFIS, Integer PI
Full Abstract:
Induction motor drives with variable speed applications that employ vector control are quitepopular nowadays because they provide strong dynamic performance and flexible speed control.By decoupling the torque-producing current components of stator current from the rotor flux,Indirect Field Oriented Control is recognized for generating excellent performance in inductionmotor drives. This investigation is being done to show the effectiveness of the novel FPI input-output data-trained ANFIS controller and compare the three controllers’ performance in termsof load variation capabilities, motor parameter variation, and speed tracking. Consequently, acomparison of the three controllers is important to select which controller performs high in in-duction motor drive. Indirect Field Oriented Control of induction motor with Fractional Pro-portional Integral (FPI), Integer Proportional Integral (IPI), and Adaptive Neuro-Fuzzy InferenceSystem (ANFIS) controllers are all discussed in this work along with their designs and compar-ative analysis. The square of error was used as a fitness function to genetically optimize the FPIand IPI controller parameters. The suggested Adaptive Neuro-Fuzzy Inference System (ANFIS)controller uses a hybrid learning approach. It is trained by the FPI controller’s input-output data.Using the results of MATLAB simulations under various operating situations, the performance ofthe ANFIS controller was compared with FPI and IPI controllers. Because of FPI controller in-cludes an extra parameter for adjustment, namely integration order, it performed better than IPIcontroller for speed control of the induction motor. According to the simulation findings, thepercentage peak overshoots while employing ANFIS, FPI, and IPI controllers were 0.495 %,12.062 %, and 14.699 % respectively. As a result, ANFIS exhibits a drastic reduction in overshoot.Additionally, with the ANFIS controlled induction motor drive, the speed achieves the requiredset value at 0.14 s. For no load, constant, and changing loads, the induction motor drive’s per-formance has been examined.
Keywords: Induction motor, Indirect field oriented control, Fractional PI, ANFIS, Integer PI
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Intercropping of Pepper (Capsicum annuum L.) and Black Cumin (Nigella sativa L.) Optimize Crop Performance and System Productivity in Ethiopia: Systematic Review
Journal Article
Yohannes Gelaye • Submitted: Jan 15, 2025
Agriculture and Natural resources Horticulture
Abstract Preview:
Intercropping is an essential farming system that combines multiple crop speciessimultaneously. in ethiopia, pepper and Black cumin are interplanted with various crops,influenced by diverse environmental and agronomic factors. this review examines the impactof intercropping pepper and Black cumin on the performance of component crops andsystem productivity in ethiopia. Farmers in tropical regions practice intercropping widely toreduce dependence on monoculture, manage risks from pests, diseases, and climate variability,and enhance resilience. By integrating pepper and Black cumin with other crops, small‑scalefarmers in developing countries like ethiopia diversify crop production and improve yields.Most smallholder farmers in ethiopia cultivate plots smaller than one hectare. the landequivalent ratio is a key measure for evaluating intercropping efficiency. However, indicessuch as relative Yield total, Staple land equivalency ratio, Area time equivalency ratio, andArea Harvest equivalency ratio are also applied globally. these indices help assess the benefitsof intercropping in terms of land use and time management. to maximize productivity,farmers must carefully select crops that balance resource competition, resist pests anddiseases, and ensure yields with superior quality. promoting sustainable intercropping practicescan boost agricultural output and contribute to food security in ethiopia and similar regions.
KEYWORDS: indices; multiple cropping; sole cropping; spatial arrangement
Full Abstract:
Intercropping is an essential farming system that combines multiple crop speciessimultaneously. in ethiopia, pepper and Black cumin are interplanted with various crops,influenced by diverse environmental and agronomic factors. this review examines the impactof intercropping pepper and Black cumin on the performance of component crops andsystem productivity in ethiopia. Farmers in tropical regions practice intercropping widely toreduce dependence on monoculture, manage risks from pests, diseases, and climate variability,and enhance resilience. By integrating pepper and Black cumin with other crops, small‑scalefarmers in developing countries like ethiopia diversify crop production and improve yields.Most smallholder farmers in ethiopia cultivate plots smaller than one hectare. the landequivalent ratio is a key measure for evaluating intercropping efficiency. However, indicessuch as relative Yield total, Staple land equivalency ratio, Area time equivalency ratio, andArea Harvest equivalency ratio are also applied globally. these indices help assess the benefitsof intercropping in terms of land use and time management. to maximize productivity,farmers must carefully select crops that balance resource competition, resist pests anddiseases, and ensure yields with superior quality. promoting sustainable intercropping practicescan boost agricultural output and contribute to food security in ethiopia and similar regions.
KEYWORDS: indices; multiple cropping; sole cropping; spatial arrangement
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Investigating Disparities in Urban and Rural Land Rights Cadastral Registration in Ethiopia: A Case of Amhara Region
Research Paper
Yeneneh Nigusiea (MSc.), Principal Investigator Zelalem Yitrefa (MSc.), Co-Investigator Abrham Tarekegna (MSc.), Co-Investigator Masresha Beleteb (MSc.), Co-Investigator Nigus Adanea (MSc.), Co-Investigator Ayelech Kidiea (PhD), Co-Investigator • Submitted: Oct 30, 2025
Institute of Land Administration Real Property Valuation
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ABSTRACT This study investigates the disparities of urban and rural land rights cadastral registration in Ethiopia, by using the Amhara region as a case study. Althoug h⁠ the country has made promising progress, especially through first and second-leve⁠l rural land registration and certification programs, urban land cadastral registratio n re mai⁠ns underdeveloped, characterized by incomplete coverage, institutional fragmentation, and widespread informal landholding. The study use d a mixed research method by c ollecting both quantitative and qualitative data. For the quantitative data, about 385 respon⁠dents were surveyed across six ru ral and urban sites, whereas the qualitative data we⁠r⁠e collected using ke y i⁠nformant interviews and focus group di⁠scussions. The research was conducted under university sponsorship during a period of restricted field acc⁠ess due to conflict-related⁠ limitations. The co llected d ata were analysed using both descriptive and thematic approaches to compare the⁠ urban and rural areas. The findings show deep stru⁠ctural disparities between urb an and rural a reas. Rura⁠l areas have achieved broader certi fication cover⁠age and higher percei ved tenure security due to co⁠nsist⁠ent⁠ program i mplementat⁠ion, yet still face ser ious challenges, including poor da⁠ta systems, limited skilled⁠ personne⁠l, weak enforcement, and reliance on customary practices. Urba n areas, w⁠hi le more technologically equipped and instit utionally resourced, stru ggle⁠ with legal ambiguities, fragmented governance, high registr⁠ation costs, and informality in peri-urban zone⁠s. The cadastral disparities contribute to unequal tenure security, land disputes, unequal access to land⁠based credit, and unbalanced development outcomes. The study concludes that minimizing the gaps needs harmonized legal frameworks, integrated and coordinated institutions, an d targeted support for both urban and rural cadastral systems. Responding to these issues is important for securing land rights, promoting equitable la n⁠d governance, and bringing sustainable development in Ethiopia Keywords: Cadastre, Land Rights, Urban-Rural Disparities, Land Tenure Security, Ethiopia.
Full Abstract:
ABSTRACT This study investigates the disparities of urban and rural land rights cadastral registration in Ethiopia, by using the Amhara region as a case study. Althoug h⁠ the country has made promising progress, especially through first and second-leve⁠l rural land registration and certification programs, urban land cadastral registratio n re mai⁠ns underdeveloped, characterized by incomplete coverage, institutional fragmentation, and widespread informal landholding. The study use d a mixed research method by c ollecting both quantitative and qualitative data. For the quantitative data, about 385 respon⁠dents were surveyed across six ru ral and urban sites, whereas the qualitative data we⁠r⁠e collected using ke y i⁠nformant interviews and focus group di⁠scussions. The research was conducted under university sponsorship during a period of restricted field acc⁠ess due to conflict-related⁠ limitations. The co llected d ata were analysed using both descriptive and thematic approaches to compare the⁠ urban and rural areas. The findings show deep stru⁠ctural disparities between urb an and rural a reas. Rura⁠l areas have achieved broader certi fication cover⁠age and higher percei ved tenure security due to co⁠nsist⁠ent⁠ program i mplementat⁠ion, yet still face ser ious challenges, including poor da⁠ta systems, limited skilled⁠ personne⁠l, weak enforcement, and reliance on customary practices. Urba n areas, w⁠hi le more technologically equipped and instit utionally resourced, stru ggle⁠ with legal ambiguities, fragmented governance, high registr⁠ation costs, and informality in peri-urban zone⁠s. The cadastral disparities contribute to unequal tenure security, land disputes, unequal access to land⁠based credit, and unbalanced development outcomes. The study concludes that minimizing the gaps needs harmonized legal frameworks, integrated and coordinated institutions, an d targeted support for both urban and rural cadastral systems. Responding to these issues is important for securing land rights, promoting equitable la n⁠d governance, and bringing sustainable development in Ethiopia Keywords: Cadastre, Land Rights, Urban-Rural Disparities, Land Tenure Security, Ethiopia.
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