Knowledge-based and integrated monitoring and diagnosis in autonomous power systems

A new technique of knowledge-based and integrated monitoring and diagnosis (KBIMD) to deal with abnormalities and incipient or potential failures in autonomous power systems is presented. The KBIMD conception is discussed as a new function of autonomous power system automation. Available diagnostic modelling, system structure, principles and strategies are suggested. In order to verify the feasibility of the KBIMD, a preliminary prototype expert system is designed to simulate the KBIMD function in a main electric network of the autonomous power system

A knowledge-based approach to improving optimization techniques in system planning

A knowledge-based (KB) approach to improve mathematical programming techniques used in the system planning environment is presented. The KB system assists in selecting appropriate optimization algorithms, objective functions, constraints and parameters. The scheme is implemented by integrating symbolic computation of rules derived from operator and planner's experience and is used for generalized optimization packages. The KB optimization software package is capable of improving the overall planning process which includes correction of given violations. The method was demonstrated on a large scale power system discussed in the paper

Identifying Contextual Predictors Of Urban Park Utilization Among Inter-Ethnic Groups In Malaysia

Social interaction among diverse ethnic groups motivates people within communities to visit urban parks towards achieving social cohesion. Malaysians of different ethnic backgrounds spend their leisure time in urban parks because it offers opportunities for social interaction. The perception and requirement of attributes needed varies among the various ethnic groups of Malays, Chinese and Indians in order to be assured of their full utilization of the parks. This study investigates the urban park attributes that encourage the utilization of urban park by these three ethnic groups toward achieving social cohesion. Using a survey questionnaire method a total of 274 respondents were sampled at Batu Pahat urban parks in Johor, Malaysia. Afterwards, Structural Equation Modelling (SEM) was used to analyse and validate respondents’ perception of urban park utilization. The findings show that aesthetics, safety, lighting, maintenance and cleanliness in public spaces attracted people to visit the urban park and contributed towards social cohesion

Intraoperative colonic irrigation in the management of left sided large bowel emergecies in Jos University Teaching Hospital, Nigeria

Objectives: To evaluate the safety and benefits of antegrade intraoperative colonic irrigation (lavage) and primary anastomosis, after colonic resection, in the treatment of left sided large bowel emergencies.Design: A prospective descriptive study.Setting: Jos University Teaching Hospital, Jos, Nigeria.Participants: Thirty seven patients with an average age of 44.86 ± 16.15 years.Intervention: Sigmoid colectomy was performed in twenty two sigmoid volvulus, five sigmoid cancer, two faecal fistulae and one sigmoid injury. Left hemicolectomy was offered in four descending colon cancer, one descending colon injury, while anterior resection was carriedout in two rectal cancers. Primary anastomosis was performed after intraoperative colonic lavage.Results: The operative mortality was 2.7%, anastomotic leakage rate 2.7% and superficial wound infection occurred in 10.81%. The average duration of hospital stay was 22.76 ± 11.26 days. Intraoperative colonic lavage added 35.79 ± 7.25 minutes to the operating time.Conclusion: The results of this study suggest that intraoperative colonic lavage is an effective method enabling the surgeon to perform a primary anastomosis with reasonable safety after emergency resection of selected distal colonic lesions

COMPARATIVE ANALYSIS OF INCOME AND POVERTY STATUS OF WOMEN IN KOKORO (CORN SNACK) PRODUCTION AND ARABLE CROPS PRODUCTION IN OGUN STATE, NIGERIA

The study analyzed the poverty status of women producing Kokoro (Corn snack) and women producing arable crops in Ogun State, Nigeria. A total of 208 respondents made up of 106 women producing Kokoro (Corn snack) and 102 women producing arable crops to serve as control group were selected. The respondents were selected based on non- probability method. Purposive sampling technique with Snowball method was used. Data were obtained by structured interview schedule. Data collected were analysed using FGT poverty index, costs and return and t-test statistics. The results indicated that 34.9kg of maize were processed into 128 dozens of Kokoro (Corn snack) per production run over an average of five (5) days, with six (6) production runs per month for nine months for the period of the research. The mean Kokoro (Corn snack) production cost was N42, 769.41/ respondent/ month with average revenue of N92, 253.60/ respondent/ month and net income of N49, 484.19/ respondent/ month. Income from Kokoro (Corn snack) production accounted for 53.4% of the total household income of N721,323.67 of an average woman engaged in Kokoro (Corn snack) production while farm income  accounted for 67.9% of the total household income of N418, 935.10 of an average woman producing arable crops. The study also revealed that households of Kokoro (Corn snack) producers had mean per capita household income of N282.32 per person per day which was significantly higher (p<0.01) than those of women producing arable crops, N191.29 per person per day. Thus Kokoro (Corn snack) production has the potentials to enhance income and reduce poverty among households of rural women. The study thus recommends promotion of value- adding activities, such as maize processing into Kokoro as a means of enhancing income and reduces poverty among the rural folks.     &nbsp

Prevalence and antimicrobial resistance pattern of coagulase negative Staphylococci isolated from pigs and in-contact humans in Jos Metropolis, Nigeria

The nasal carriage and antibiotic susceptibility pattern of coagulase negative  staphylococci (CoNS) isolates from healthy pigs and in-contact humans were  investigated in 300 pigs and 101 in-contact humans from pig farms and abattoir. The results indicate that 13.2% (53/401) of the isolates were CoNS species based on confirmatory test with Microgen biochemical kit and were further subjected to antibiotic susceptibility testing. Nine CoNS species were identified; S. haemolyticus (n = 10), S. simulans (n =5), S. chromogen (n = 9), S. warneri (n =5), S. xylosus (12), S. epidermidis (n = 5), S. schleiferi (n = 5) and S. hominis (n = 2). Overall, resistance to beta-lactams was the most observed; 79.2% of the isolates were resistant to penicillin while 11.3% and 7.5% were respectively resistant to oxacillin and cefoxitin, respectively.  Resistance to 2 or more antimicrobial agents was observed in 39.6% (21/53) of the CoNS isolates. All the isolates were resistant to at least one antimicrobial agent except for gentamicin. Multidrug resistant CoNS are common colonizers of apparently healthy pigs and in-contact humans in the study area with S. xylosus and S. haemolyticus being the major species detected.Key words: Antibiotics, CoNS, pigs, humans

Inhibitory Action of Nicotiana tabacum Extracts on the Corrosion of Mild Steel in HCl: Adsorption and Thermodynamics Study

The toxic effects of synthetic corrosion inhibitors have led to the search for naturally occurring substances which are not only readily available but are also environmentally friendly. Therefore, this study investigates the inhibition efficacy of acid extract of Nicotiana tabacum leaves on mild steel in 1M HCl using weight loss method. Experiments are performed by varying immersion period, concentration of the inhibitor and temperature. The inhibition efficiency is markedly higher on the addition of Nicotiana tabacum leaves extract in acidic medium compared with those in the absence of inhibitor. The inhibition efficiency increased with an increase in inhibitor concentration but decreased with rise in temperature and exposure time. Thermodynamic studies revealed that corrosion inhibition may be due to the spontaneous physical adsorption of the plant constituents on the surface of mild steel. Experimental data fitted with the Langmuir and Temkin adsorption isotherms. Kinetic treatment of the data followed a first order reaction. Calculated half-lives increase as the concentration of the extracts increases suggesting that inhibition efficiency increases with increase in the concentration of the extracts.Preliminary investigation of the phytochemical constituents showed that Nicotiana tabacum contains tannin,flavonoid, terpenoid and some other compounds in trace constituents. [Olasehinde, EF, Olusegun, SJ, Adesina, AS, Omogbehin, SA, Momoh-Yahayah, H. Inhibitory Action of Nicotiana tabacum Extracts on the Corrosion of Mild Steel in HCl: Adsorption and Thermodynamics Stud

A real valued neural network based autoregressive energy detector for cognitive radio application

A real valued neural network (RVNN) based energy detector (ED) is proposed and analyzed for cognitive radio (CR) application. This was developed using a known two-layered RVNN model to estimate the model coefficients of an autoregressive (AR) system. By using appropriate modules and a well-designed detector, the power spectral density (PSD) of the AR system transfer function was estimated and subsequent receiver operating characteristic (ROC) curves of the detector generated and analyzed. A high detection performance with low false alarm rate was observed for varying signal to noise ratio (SNR), sample number, and model order conditions. The proposed RVNN based ED was then compared to the simple periodogram (SP), Welch periodogram (WP), multitaper (MT), Yule-Walker (YW), Burg (BG), and covariance (CV) based ED techniques. The proposed detector showed better performance than the SP, WP, and MT while providing better false alarm performance than the YW, BG, and CV. Data provided here support the effectiveness of the proposed RVNN based ED for CR application

A real valued neural network based autoregressive energy detector for cognitive radio application

A real valued neural network (RVNN) based energy detector (ED) is proposed and analyzed for cognitive radio (CR) application. This was developed using a known two-layered RVNN model to estimate the model coefficients of an autoregressive (AR) system. By using appropriate modules and a well-designed detector, the power spectral density (PSD) of the AR system transfer function was estimated and subsequent receiver operating characteristic (ROC) curves of the detector generated and analyzed. A high detection performance with low false alarm rate was observed for varying signal to noise ratio (SNR), sample number, and model order conditions. The proposed RVNN based ED was then compared to the simple periodogram (SP), Welch periodogram (WP), multitaper (MT), Yule-Walker (YW), Burg (BG), and covariance (CV) based ED techniques. The proposed detector showed better performance than the SP, WP, and MT while providing better false alarm performance than the YW, BG, and CV. Data provided here support the effectiveness of the proposed RVNN based ED for CR application