2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)最新文献_第3页

Fetal Heart Rate Estimation: Adaptive Filtering Approach vs Time-Frequency Analysis 胎儿心率估计:自适应滤波方法与时频分析

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949643

A. A. Ahmad, D. Nyitamen, S. Lawan, C. L. Wamdeo

{"title":"Fetal Heart Rate Estimation: Adaptive Filtering Approach vs Time-Frequency Analysis","authors":"A. A. Ahmad, D. Nyitamen, S. Lawan, C. L. Wamdeo","doi":"10.1109/NigeriaComputConf45974.2019.8949643","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949643","url":null,"abstract":"Fetal heart rate (FHR) estimation is an essential aspect of fetal heart rate observation utilized to determine fetal health condition during the antenatal period. This paper proposes two methods for FHR estimation from an abdominal electrocardiogram (ECG) signal based on adaptive filtering and time-frequency techniques. The fetal ECG signal is the main aspect of the abdominal ECG marred by other interference/ noise signals. These signals include propagated maternal ECG signal, the power-line noise and the white noise. The adaptive filtering approach is based on the least mean squares (LMS) and requires the maternal ECG signal as reference signal for the filtering processing for FHR estimation. The time-frequency analysis is based on the spectrogram time-frequency distribution (TFD), where instantaneous power (IP) and peak analyses are subsequently carried out from this TFD for FHR estimation. The adaptive filtering is made of a single step but requires an external reference signal while the time-frequency analysis involves more steps but does not require a reference signal. Results obtained showed that both methods are able to estimate the FHR of 160 beats per minute (bpm) accurately at signal-to-noise ratio (SNR) of slightly higher noise at −1dB. Results obtained showed that the proposed techniques are efficient for fetal heart monitoring and choice of technique will depend on available resources.","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125799387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Combined Cycle Power Plant Technology: Prospects in Boosting Nigeria’s Electricity Production 联合循环电厂技术:促进尼日利亚电力生产的前景

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949617

F. Alhassan, Sadiq Thomas, Rabiu Aminu, Zainab Jibril Barau, O. Oyeleke, Rukaiya Abdullahi

{"title":"Combined Cycle Power Plant Technology: Prospects in Boosting Nigeria’s Electricity Production","authors":"F. Alhassan, Sadiq Thomas, Rabiu Aminu, Zainab Jibril Barau, O. Oyeleke, Rukaiya Abdullahi","doi":"10.1109/NigeriaComputConf45974.2019.8949617","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949617","url":null,"abstract":"The Combined Cycle Power Plant or Combined Cycle Gas Turbine is described as a gas turbine generator in which electricity is generated and the resulting waste heat is used to produce steam to generate additional electricity by means of a steam turbine. The gas turbine is considered one of the most resourceful for conversion of gas fuel to mechanical power or in this case electricity. The electricity sector in Nigeria’s has suffered a systemic failure over the years. In the earlier years, considering the 70s and 80s, electric power production and supply was considered ample and barely sufficient to meet the National demand. And recently, it is still experiencing gradual deterioration and is still struggling to meet the increase in the demand for electricity as a result of increase in population. Electricity production in Nigeria over the last 35 years constitutes various methods of generation of which are gas-fired, oil-fired, hydro-electric power stations, and coal-fired station with hydroelectric power system. And with infrastructural developments, oil and gas-fired power stations make up about 85% of her power plants. This paper discusses the prospects of combined cycle power plants (CCPPs) for boosting generation of electricity in Nigeria, the associated technology, and the possibilities to be exploited, hence, meeting up with the rise in the demand for energy for sustainable national development. The paper also suggests the potentials of improving present gas-fired power plants into combined cycle power plants for enhanced electricity generation and supply.","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126373200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning for Strategic Urban Planning 策略性城市规划的机器学习

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949665

S. N. Odaudu, I. J. Umoh, M. B. Mu’azu, E. A. Adedokun

引用次数: 0

Regulation of Induced Movement using Back Stepping Control 使用后退控制诱导运动的调节

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949651

M. Ahmed, M. S. Huq, B. S. K. Ibrahim

{"title":"Regulation of Induced Movement using Back Stepping Control","authors":"M. Ahmed, M. S. Huq, B. S. K. Ibrahim","doi":"10.1109/NigeriaComputConf45974.2019.8949651","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949651","url":null,"abstract":"The paper presented an evaluation using the Back Stepping control (BSC) for the regulation of Functional Electrical Stimulation (FES) aided sit-to-stand (STS) motion restoration by investigating the effect of human mass distribution across the world. The study focused on eradicating or reducing to the minimum the tasks of changing the control system parameters when applying the device for different subjects. The comparison was made with the Proportional Integral Derivative (PID) based gain scheduling based control approach. Results do indicate the robustness of the BSC control method as it portrays that despite the alteration of the masses to the extremes the control system was able to keep the tracking error approaching zero or very close to the desired with and without changes. It outperformed the PID based gain scheduling control scheme. It also operates within the permissible limits specified. Hence, it reveals the effectiveness of the BSC scheme for solving the problem of continuous readjustments making the equipment universal. It, therefore, relieve the burden of the necessity of changing the control variables continuously. The study is novel because the BSC has never been evaluated on four segments based induced STS movement in paraplegia model. The universal human mass distribution has also not been considered using the control scheme on the model","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128495512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient Method for Discriminating Flash Event from DoS Attack during Internet Protocol Traceback using Shark Smell Optimization Algorithm 基于鲨鱼气味优化算法的互联网协议回溯中Flash事件与DoS攻击的有效鉴别方法

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949671

O. Salami, I. J. Umoh, E. A. Adedokun, M. B. Mu'azu, Lukman Adewale Ajao

引用次数: 4

Mobility Support Challenges for the Integration of 5G and IoT in Named Data Networking 命名数据网络中5G与物联网融合的移动性支持挑战

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949670

M. Hussaini, S. A. Nor, H. Bello-Salau, Hiba Jasim Hadi, A. A. Gumel, Kabiru Abdullahi Jahun

引用次数: 8

A Direct Optimal Control of the Jebba Hydropower Station 杰巴水电站的直接最优控制

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949623

O. Ogunbiyi, C. T. Thomas, B. Olufeagba, I. S. Madugu, B. H. Adebiyi, Lambe M. Adesina

{"title":"A Direct Optimal Control of the Jebba Hydropower Station","authors":"O. Ogunbiyi, C. T. Thomas, B. Olufeagba, I. S. Madugu, B. H. Adebiyi, Lambe M. Adesina","doi":"10.1109/NigeriaComputConf45974.2019.8949623","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949623","url":null,"abstract":"The optimal power generation from the Jebba hydroelectric power station is subject to the reservoir operating head, weather-related factors, units’ availability and system dynamics. In this paper, a computer control system is designed to ensure safe operation and maximize power generation. The controller is an optimal controller, which determines the amount of inflow required to regulate the reservoir operating head. The control law is an optimal control procedure developed around the steepest descent and conjugate gradient algorithm. The algorithms determine the control signal and state trajectories for minimization of a performance index defined for the regulation of the reservoir operating head. The results show that the two techniques are feasible in estimating an optimal inflow needed to move the reservoir operating head from any level to the nominal head. The two techniques were compared under different operating conditions of the hydropower system, the conjugate gradient algorithm performs better in terms of computational time. The control algorithm is recommended for use in the realization of a computer control system for the station.","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124880325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

NigeriaComputConf 2019 Keyword Index 尼日利亚omputconf 2019关键字索引

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/nigeriacomputconf45974.2019.8949638

引用次数: 0

Evaluating the State of the Art Antivirus Evasion Tools on Windows and Android Platform 在Windows和Android平台上评估最新的防病毒规避工具

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949637

Faisal A. Garba, Kabiru I. Kunya, S. A. Ibrahim, A. B. Isa, Khadija M. Muhammad, Nasiru N. Wali

引用次数: 6

A Resonant Fault Current Limiting Prediction Technique based on Auditory Machine Intelligence 基于听觉机器智能的共振故障限流预测技术

2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf) Pub Date : 2019-10-01 DOI: 10.1109/NigeriaComputConf45974.2019.8949653

Biobele A. Wokoma, E. N. Osegi

{"title":"A Resonant Fault Current Limiting Prediction Technique based on Auditory Machine Intelligence","authors":"Biobele A. Wokoma, E. N. Osegi","doi":"10.1109/NigeriaComputConf45974.2019.8949653","DOIUrl":"https://doi.org/10.1109/NigeriaComputConf45974.2019.8949653","url":null,"abstract":"Faults are a major problem encountered by power system operators particularly single-line-to-ground faults. To mitigate such faults and assure enhanced services to consumers, power system operators need to deploy appropriate hard and soft-computing solutions. In this paper, we present a novel approach to fault mitigation based on a new type of artificial intelligence technique dedicated to time series prediction called Auditory Machine Intelligence (AMI). The actual fault mitigation approach uses a Resonant Fault Current Limiter (RFCL) to fine-tune inductances in circuit in order to estimate the clearance times for a fault. The fault mitigation approach is cast as a time series problem where the resonant inductances (L) and associated clearance times (tc) are re-sequenced in a temporal aggregated fashion; this approach is then applied to a double-circuit transmission line (Alaoji-Afam sub-transmission) of the Nigerian power network. The results using the proposed technique on a generated L-tc sequence are compared with that of the Group Method of Data Handling for time series (GMDH time-series) which is a state-of-the-art neural network; the results indicate that the both techniques are competitive but the AMI technique will outperform the GMDH time-series to the tune of 0.57% for a number of GMDH time-series and AMI equal simulation trials.","PeriodicalId":228657,"journal":{"name":"2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132934115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1