Capacity Planning and Performance of Brewing Firms in South-South, Nigeria
Prof. Ezimma Nnabuife, Ndubuisi-Okolo Purity.U. (Ph.D) and Ohue Paul Itua- December 2021 Page No.: 01-07
The broad objective of this paper is to determine the extent of relationship that exists between capacity planning and performance of brewing firms in South-South, Nigeria. Specifically, this study seeks to ascertain the type of relationship between lead strategy and product availability of brewing firms in South-South, Nigeria. The study was anchored on theory of constraint (TOC) postulated by Goldraft (1984). Survey research design was adopted for the study; a total population of three hundred and eighty-three (383) was used for the study. Census sampling method was used for the study because the population is a manageable size. The data collection tool employed by the researcher was the questionnaire, while the analysis of the data was done using the linear regression analysis. Results obtained from the test of hypothesis revealed that the relationship between lead strategy and product availability is significant and positive since (F = 11824.65; R-squared = 0.872; P <.05). Based on the findings, the researcher concluded that there exists a strong significant positive relationship between capacity planning and performance of brewing firms in South-South, Nigeria. Sequel to the conclusion, the researcher recommended that the focused firms should ensure the regular addition of production capacity in anticipation of demand as a result of its effect on product availability.
Page(s): 01-07 Date of Publication: 24 December 2021
Prof. Ezimma Nnabuife
Department of Business Administration, Nnamdi Azikiwe University, Awk, Anambra State, Nigeria
Ndubuisi-Okolo Purity.U. (Ph.D)
Department of Business Administration, Nnamdi Azikiwe University, Awk, Anambra State, Nigeria
Ohue Paul Itua.
Department of Business Administration, Nnamdi Azikiwe University, Awk, Anambra State, Nigeria
[1] Avninder, G. (2015). Capacity planning and performance of steel and metal firms: A case of Okanagan construction firm, Kamloops. Journal of Applied Business and Economics, 17 (4), 95-104.
[2] Benadette, P. (2015). The relevance of capacity planning to organizational performance. Journal of Business and Management, 3 (4), 14-22.
[3] Dekkers, J. & Kannegi, P. (2012). Capacity planning and performance of manufacturing firms in Malaysia: An empirical evidence. International Journal of Service and Operations Management, 2 (3), 12-22.
[4] Esione, O.U. & Okeke, M.N. (2019). Capacity planning and productivity of alcoholic beverages in Nigeria. International Journal of Trend in Science Research and Development, 3 (3), 1773-1784.
[5] Goldraft, E.M. (2009).’’Standing on the shoulders of giants: Production concepts versus production applications. The Hitachi tool engineering example”. Gestao & Producao, 16 (3), 333-343.
[6] Gregory, W. (2015). Planning capacity. Journal of Operations Management
[7] Guinness Nigeria Plc (2011). The world of Guinness, Lagos: Guinness Nigeria Plc.
[8] Gunther, N.J. (2007). Guerilla capacity planning. USA: Springer.
[9] Gupta, M. & Synder, D. (2009). “Comparing TOC with MRP and JIT: A literature review”. International Journal of Production Research, 47 (13), 3705-3739.
[10] Jader, J. (2019). Supply chain management. Retrieved from www.linkedin.com on the 26th of December 2019.
[11] Kifordu, A. & Williams, O. (2017). Effects of manufacturing firm’s capacity planning on performance of the firm. International Journal of Social Sciences & Educational Studies, 4 (3), 193-211.
[12] Koh, C.E. & Nam, K.T. (2005). Business use of the internet: A longitudinal study from a value chain perspective. Industrial Management and Data Systems, 105: 85-95.
[13] Linhares, A. (2009).“Theory of constraints and the combinatorial complexity of the product mix decision”. International Journal of Production Economics, 121 (1), 121-129.
[14] Mukherjee, S.M. & Chatterjee, A.K. (2007). The concept of bottleneck. Ilm Ahmedabad, Working paper no. 2006-05-01.
[15] Nave, D. (2002).”How to compare six sigma lean and the theory of constraints”. Quality Progress, 35 (3), 73-80.
[16] Ndegwa, I.M. (2017). Capacity planning and operational performance of major hydropower stations in Kenya. A published research work submitted in partial fulfillment for the award of Master of Business Administration Degree of the University of Nairobi.
[17] North Carolina State University (2006). “Terms and definitions-Supply chain management’’. Retrieved from www.linkedin.com on the 26th of December 2019.
[18] Nwachukwu, C.C. (2006). Management theory and practice. Onitsha: Africana FEP Publishers Limited.
[19] Rene, H. (2012). Capacity planning and performance of health care centres in Rotterdam.A published research work submitted in partial fulfillment for the award of Master in Health Economics Erasmus University Rotterdam .
[20] Rob, D. & Kanagi, K. (2012). Practices for strategic capacity management in Malaysian manufacturing firms. Procedia-Social and Behavioural Sciences, 57, 466-476.
[21] Rouse, M. (2006). Building with modern data centre design in mind. Retrieved from www.rhythmsystems.com on the 26th of December 2019.
[22] Simões, J.M., Gomes, C.F. & Yasin, M.M. (2011) “A literature review of maintenance performance measurement: A conceptual framework and directions for future research”.Journal of Quality in Maintenance Engineering, 17 (2), 116 – 137.
[23] Stevenson, W.J. (2004). Operations Management, 8th ed., Boston MA: McGraw-Hill.
[24] Steyn, H. (2000).”An investigation into the fundamentals of critical chain project scheduling”. International Journal of Project Management, 19:363-369.
[25] Sule, J.G., Ogbadu, E.E. & Olukotun, G.A. (2012). Capacity planning and its implications on the infrastructural development needs of some selected higher institutions in the Eastern senatorial district of Kogi State. Global Journal of Management and Business Research,12 (23), 63-80.
[26] Suleyman, K. & Wu, S.D. (2018). Coordinating strategic capacity planning in the semi-conductor industry. Technical Report 99T-11, Department of Industrial and Manufacturing System Engineering, Lehigh University.
[27] Suwannoppharat, K. & Kaewsa, A. (2015). Utilization of content theme based instructions: An overhaul of English language learning for non-native english learners. International Journal of English Language Education, 1 (3), 115-126.
[28] Tong, D. (2011). Capacity planning and performance of manufacturing firms in Toronto. A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Graduate Department of Joseph L. Rotman School of Management University of Toronto.
[29] Trietsch, D. (2005). From management by constraints (MBC) to management by criticalities (MBC). Human Systems Management, 24:105-115.
[30] White, G.P. (2000). Capacity Planning: Long range. In Swamidass, P.M. (eds). Encyclopedia of Production and Manufacturing Management, Springer, Boston, MA.
[31] Wishart, J. (2019). Key performance indicators for manufacturing firms. Retrieved from www.rhythmsystems.com on the 26th of December 2019.
Prof. Ezimma Nnabuife, Ndubuisi-Okolo Purity.U. (Ph.D) and Ohue Paul Itua “Capacity Planning and Performance of Brewing Firms in South-South, Nigeria” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-6-issue-12, pp.01-07 December 2021 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-6-issue-12/01-07.pdf
Physico-Chemical Properties of Pharmaceutical Effluents Samples in Lagos, Nigeria
Olusegun Samuel Tunde, Ezeokoli Chidimma Abigail, Mbakogu Chidinma Happiness, Asogbon Ikuesan Adebayo, Fadimu Oladayo Kehinde, Osundiya Medinat Olubunmi- December 2021 Page No.: 08-10
In most developing countries, pharmaceutical effluents generated during drugs production are often times discharged into the environment with little or no treatment, which poses potential toxic effects on the ecosystem. This study investigated the physico-chemical properties of pharmaceutical effluents of three pharmaceutical origins in Lagos, Nigeria to ascertaining their levels of compliance with FEPA and WHO as regards effluents discharge. The operational parameters include: Temperature, pH, Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Solids (TS), Chloride (Cl-), Nitrate (NO-3). The mean values of pH of the effluents were 5.57±0.20, 7.34±0.38 and 6.71±0.58 for sites the PC1,PC2 and PC3 respectively. Concentrations of heavy metals, such as Copper, Zinc, Chromium and Iron were also determined using the Atomic Absorption Spectrophotometer (AAS). The mean concentrations (mg/L) of the heavy metals range from 0.06 to 0.61 for copper,0.00 to 0.32 for chromium and 0.68 to 8.90 for Iron. The results obtained for the heavy metal concentrations were observed to fall within WHO/FEPA stipulated limits, while few of the water quality parameters were found to be higher, which indicate their extents of toxicity to man and his environment.
Page(s): 08-10 Date of Publication: 04 January 2021
Olusegun Samuel Tunde
Department of Chemistry, Lagos State University, Lagos-Nigeria
Ezeokoli Chidimma Abigail
Department of Microbiology/Biochemistry, University of Nigeria, Enugu, Nigeria
Mbakogu Chidinma Happiness
Department of Microbiology/Biochemistry, University of Nigeria, Enugu, Nigeria
Asogbon Ikuesan Adebayo
Department of Biochemistry, Olabisi Onabanjo University, Ogun-State, Nigeria
Fadimu Oladayo Kehinde
Department of Biochemistry, Federal University of Agriculture, Abeokuta, Nigeria
Osundiya Medinat Olubunmi
Department of Chemistry, Lagos State University, Lagos-Nigeria
[1] Duangjai Tungmunnithum, Areeya Thongboonyou, Apinan Pholboon, Aujana Yangsabai (2018).Flavonoids and other Phenolic Compounds from Medicinal Plants for Pharmaceutical and Medical Aspects: An Overview .Medicines. 5(3):93.
[2] Masoom Raza, Zeid Alothman, Nafisur Rahman (2017).Analytical techniques in pharmaceutical analysis: A review. Arabian Journal of Chemistry.7-8
[3] Song Ji, Jhung Sung (2017). Adsorption of pharmaceuticals and personal care product over metal organic frame work functionalized with hydroxyl groups: Quantitative analyses of H- bonding in Adsorption. Chemical Engineering Journal.366-74.
[4] Kummere Klaus (2019). The Presence of Pharmaceuticals in the Environment due to Human use Present Knowledge and Future Challenges. Journal of Environmental Management.(98 ):2354-66.
[5] Jitesh Lalwani, Ashutosh Gupta, Shashidhhar Thatikonda, Challapalli Subrahmanyam (2020). An Industrial Insight on Treatment Strategiesof the Pharmaceutical Industry Effluents with Varying Qualitative Characteristics. Jounal of Environmental Chemical Engineering. 4-5.
[6] Anderson Dan,Huges Diarmaid (2014) . Microbiological Effects of Sublethal Levels of Antibiotics. Natural Revolution Microbiology. (7) : 465-78
[7] Barakat M. A (2011) . New Trend in Removing Heavy Metals from Industrial Wastes. Arabian Journal of Chemical.(4): 361-377
[8] Abdul Raman Abdul Aziz, Wan Mohd Ashiri (2016). Combination of Electro Coagulation with Advanced Oxidation Processes for the Treatment of Distillery Industrial Effluent , Process sat. Environment :227-35.
[9] Pardon Nyamukamba, Makwena Moloto, Nikita Tavengwa, Ikechukwu Ejidike . Evaluating Physicochemical Parameters (2019),Heavy Metals, and Antibiotics in the Influents and Final Effluents of SouthAfrican Wastewater Treatment Plants . Polish Journals of Environmental Studies.1306-307.
[10] APHA, 1995. Standard Methods for Estimation of Water and Waste Water 19 th ed.,American Water Works Association , water environment Federation , Washington 1995; Washington DC, USA.
[11] Olaitan Olatunde, Sulola Ebenezer , Kasim Lateef , Daodu John (2014) . Physico-Chemical Characteristics of Pharmaceutical Effluents from Sango Industrial Area, Nigera. Bulletin of Environment, Pharmacology and Life Sciences: 79-80.
[12] Chandaluri Subba, Sreenivasa Rao, Manjula Bharathi (2010).Determination of Water Quality Index of Some Areas in Guntur District Andhra Pradesh. International Journal of Applied Biology and Pharmaceutical Technology. 3-5.
[13] Siyanbola Tolulope, Ajanaku Kolawole, James Olusola, Olugbuyiro Joseph (2011) . Physico-Chemical Characteristics of Industrial Effluents in Lagos State, Nigeria. Global Journal of Pure and Applied Science, 51.
Olusegun Samuel Tunde, Ezeokoli Chidimma Abigail, Mbakogu Chidinma Happiness, Asogbon Ikuesan Adebayo, Fadimu Oladayo Kehinde, Osundiya Medinat Olubunmi “Physico-Chemical Properties of Pharmaceutical Effluents Samples in Lagos, Nigeria” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-6-issue-12, pp.08-10 December 2021 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-6-issue-12/08-10.pdf
Heavy Metals Contamination and Physicochemical Properties of Nono Sold in Wushishi Local Government Area of Niger State, Nigeria
Kabiru, Adamu Y., Gwarjiko, Idris U.- December 2021 Page No.: 11-15
Dairy products such as Nono can be contaminated by heavy metals through exposure of lactating cows to pollution or consumption of feed and water with toxicants. Nono may also be exposed to toxicants during the processes of production and marketing. Nono samples were bought from hawkers around three locations, Zungeru, Wushishi and Gwarjiko, in Wushishi Local Government Area of Niger State, Nigeria. The Nono samples were wet digested and the concentrations of Lead (Pb), Magnesium (Mg), Manganese (Mn), Iron (Fe) and Zinc (Zn) were determined by the Flame Atomic Absorption Spectrophotometeric technique. Percentage lactic acid, pH, total soluble sugar, % moisture content and % total solid were also determined using standard methods. The mean concentrations of Pb, Mg, Mn, Fe, and Zn were found to range from 0.756 – 0.769 mg/L, 0.379 – 0.390 mg/L, 0.351 – 0.354 mg/L, 1.075 – 1.080 mg/L and 0.234 – 0.389 mg/L respectively. The pH, titratable acidity (expressed as % lactic acid), total soluble sugar, % moisture content and % total solids were 3.85 – 4.06, 0.04 – 0.16%, 5.67 – 5.73, 8.08 – 8.30% and 91.70 – 91.92% respectively. There was no statistical difference between the means when compared at p≤0.05, but the concentrations of lead, manganese and iron were found to be above the permissible levels while the pH was slightly lower than the acceptable limit. Continuous monitoring of cattle water and feed, and use of appropriate containers in transit of raw milk and (finished) Nono are necessary so as to safeguard milk products from pollution.
Page(s): 11-15 Date of Publication: 04 January 2021
Kabiru, Adamu Y.
Federal University of Technology, Minna, Nigeria
Gwarjiko, Idris U.
Assi College of Health Sciences and Technology, Madalla, Nigeria
[1] Ayar, A., Sert, D., & Akin, N. (2009) The trace metal levels in milk and dairy products consumed in middle Anatolia-Turkey. Environmental Monitoring Assessment, 152: 1-12.
[2] Qin, L., Wang, X. P., Li, W., Tong, X., & Tong, W. J. (2009) The Minerals and Heavy Metals in Cow’s Milk from China and Japan. Journal of Health Science, 55(2): 300-305.
[3] Szabo, G., Chavan, S., Mandrekar, P., & Catalano, D. (1999) Acute Alcoholic Consumption Attenuates IL-8 and MCP-1 Induction in Response to Ex-vivo Stimulation. J. Clin. Immunol., 19: 67-76.
[4] Merck, V. M. (1986) The Merck Veterinary Manual: A Handbook of Diagnosis, Therapy and Disease Prevention and Control for the Veterinarian. (6th ed.). Rahway, New Jersey, USA: Merck and Co. Inc.
[5] Murray, R. K., Granner, D. K., Mayes, P. A. & Rodwell, V. W. (2000) Harper’s Biochemistry (25th ed.). New York: McGraw-Hill.
[6] Chandra, R. K. (1990) Micro-nutrients and Immune Functions: An Overview. Annual New York Acad. Sci., 587: 9-16.
[7] Hays, V. W. & Swenson, M. (1985) Minerals and Bones. In: Dukes, H. H. & Melvin, J.S., Dukes’ Physiology of Domestic Animals (10th ed.). London, UK: Cornell University Press. pp. 449-466
[8] Li, Y., McCrory, D., Powel, J., Saam, H., & Jackson-Smith, D. (2005) A Survey of Selected Heavy Metal Concentrations in Wisconsin Dairy Feeds. Journal of Dairy Science, 88: 2911-2922.
[9] Soetan, K., Olaiya, C., & Oyewole, O. (2010) The Importance of Mineral Elements for Humans, Domestic Animals and Plants: A Review. African Journal of Food Science, 4(5): 200-222.
[10] Bryee-Smith, O. & Stephenes, R. (1982) Lead and Brian Function. Dev. Med. Child Neutral, 24: 90-91.
[11] Tunali, S., Cabuk, A., & Akar, A. (2006) Removal of Lead and Copper Ions from Aqueous Solutions by Bacterial Strain Isolated from Soil. Chemical Engineering Journal, 115: 203-211.
[12] Murthy, G., & Reha, U. (1971). Cadmium, Copper, Iron, Lead, Manganese and Zinc in Evaporated Milk Infant Products. Journal of Dairy Science, 54: 1001-1005.
[13] Abera, M. (2014) “Determination of Levels of Some Heavy Metals (Pb, Cr AND Cd) in Three Commercially Available Brands of Milk Powder Found in Harar Town, Eastern Hararge, Ethiopia.” Unpublished M.Sc. Thesis, Haramaya University, Ethiopia.
[14] Korenekovg, B., Skalicka, M., & Nai, P. (2002) Concentration of Some Heavy Metals in Cattle Reared in the Vicinity of Metallurgic Industry. Vetinery Archive, 72: 254-267.
[15] Sarsembayeva, N. B., Abdigaliyeva, T. B., Utepova, Z. A., Biltebay, A. N. & Zhumagulova, S.Zh. (2020) Heavy metal levels in milk and fermented milk products produced in the Almaty Region, Kazakhstan. Veterinary World, 13(4): 609-613.
[16] Semaghuil, B., Simona, D., Stanciu, G., & Soceanu, A. (2008) Determination of Major and Minor Elements in Milk through ICP-AES. Environmental Engineering and Management Journal, 6: 805-808.
[17] Samara, S., & Richard, H. (2009) Heavy Metal Toxicity, Medicine Specialist, Emergency Medicine Toxicology. New York.
[18] Ahmad, W. M. (2003) “Studies on Heavy Metal Pollution in Poultry Farms in Relation to Production Performance.” Unpublished PhD Thesis, Zagazig University, Egypt.
[19] Ogabiela, E. E., Oklo, A. D., Yebpella, G. G., Ade-Ajayi, A. F., Mmereola, U. J., Ezeayanaso, C. S., Okonko, E. M., Udiba, U. U., Mahmood A. & Gandu, I. (2010) Determination of Level of Some Elements in Edible Oils Sold in Zaria, Northern Nigeria. Global Journal of Pure and Applied Sciences, 16(3): 325-331.
[20] Carl, M. (1991) Heavy Metals and Other Trace Elements. Monograph on Residues and Contaminants in Milk and Milk Products. International Dairy Federation “IDF”, 9101(Belgium Special Issue): 112-119.
[21] Okada, I., Sakuma, A., Maio, F., Dovidauskas, S., & Zenebon, O. (1997) Evaluation of Lead and Cadmium Levels in Milk Due to Environmental Contamination in Parabia Valley Region of South-Eastern Brazil. Revista-de-Saude-Publica, 31(2): 140-143.
[22] El-Batanouni, M. M., & Abo-El-Ata, G. (1996) “Metals in Food.” Conference on Food-Borne Contamination and Egyptian’s Health, (pp. 11-27). Mansoura.
[23] Ijah, J., Odagboyi, G., & Uwabujo, A. (2002) Microbiological Screening of Fura da Nono. Nigerian Journal of Science & Technology and Mathematics Education, 5(1): 9-16.
[24] Barnabas, B. B., Ayodele, O. P., Gana, J., Jiya, A. & Igheghe, F. (2014) Microbiological Assessments of Raw Cow Milk, Nono and Locally Fermented Cheese sold at Different Markets in Bida, Bida LGA, Niger State, Nigeria. IOSR Journal of Pharmacy and Biological Sciences, 9(5V): 19-22.
[25] Ebringer, L., Ferencik, M., & Krajcovica, J. (2008) Beneficial Health Effects of Milk and Fermented Dairy Products. Folia Microbiology, 53: 378-394.
[26] Chukwuma, M. (2009) Furors Over Animal Milk Products Rage. World Journal of Microbiology and Biotechnology, 5(6): 23-30.
[27] Okeke, K., Abdullahi, I. O., & Makun, H. (2014) Microbiological Quality of Dairy Cattle Products. British Microbiology Research Journal, 4(12): 1409-1417.
[28] Simsek, O., Gultekin, R., Oksuz, O., & Kurultay, S. (2002) The Effect of Environmental Pollution on the Heavy Metal Contents of Raw Milk. Nahrung, 44: 360.
[29] Murtala, B. M. (2005) “Local Government as a Vehicle for Rural Development: A Case Study of Wushishi Local Government Area of Niger State.” MPA Thesis, Ahmadu Bello University, Zaria, Nigeria.
[30] AOAC. (2005) Official Methods of Analysis, Association of Official Analytical Chemists (15 ed.). (H. W., & L. G.W., Eds.) Mariland, USA: AOAC International.
[31] Kolapo, A. A. (2014) Assessments of Natural Radioactivity and Heavy Metals in Commonly Consumed Milk in Oke-Ogun Area, Nigeria and Estimation of Health Risk Hazard to the Population. Journal of Environmental and Analytical Toxicology, 5(2): 1–5.
[32] McCarthy, O. J. & Singh, H. (2009) “Physicochemical Properties of Milk.” In: McSweeney, P. L. & Fox, P. F. (Eds.), Advanced Dairy Chemistry, Vol. 3: Lactose, Water, Salts and Minor Constituents (Vol. 3, pp. 691-758). Springer Science + Business Media.
[33] Egwaikhide, P. A., Malu, P. S., Lawal, U., Adelagun, R. O. & Andrew, C. (2014) Physicochemical and Microbiological Analysis of Fermented Cow Milk (Nono) Consumed Within Kaduna Town, North-Western Nigeria. Food Science and Quality Management, 29: 44–49.
[34] Damtew, E.T. & Gebre, A.B. (2020) Chemical Composition and Heavy Metals Analysis of Raw Cow’s Milk. Journal of Environmental & Analytical Toxicology, 10(3): 1–5.
[35] Iyenga, G. V. (1982) Elemental Composition of Human and Animal Milk: A Review. Joint IAEA/WHO. Vienna: International Atomic Energy Agency. pp. 19–145.
[36] Renne, E., Schaafsma, G., & Scottk, J. (1989) “Micronutrients in Milk.” In: Renner, E. (ed.), Micronutrients in Milk and Milk-based Food Products (Vol. 1, pp. 1-70). England: Elsevier Science Publishers Ltd.
[37] Hunt, C. D. & Nielson, F. H. (2009) Nutritional Aspects of Minerals in Bovine and Human Milks. In: McSweeney, P. L., & Fox, P. F. (Eds.), Advanced Dairy Chemistry Vol. 3: Lactose, Water, Salts and Minor Constituents (Third ed., pp. 391 – 456). New York, USA: Springer Science + Business Media, LLC.
[38] Codex Alimentarius Commission. (2015) Joint FAO/WHO General Standard for Contaminants and Toxins in Food and Feed (CODEX STAN 193-1995). International Food Standards, (pp. 42-46).
[39] Elatrash, S. & Atoweir, N. (2014) Determination of Lead and Cadmium in Raw Cow’s Milk by Graphite Furnace Atomic Absorption Spectroscopy. Int. J. Chem. Sci., 12 (1): 92-100.
[40] Ogabiela, E. E., Udiba, U. U., Adesina, O. B., Hammuel, C., Ade-Ajayi, F. A., Yebpella, G. G., Mmereole, U. J. & Abdullahi, M. (2011) Assessment of Metal Levels in Fresh Milk from Cows Grazed Around Challawa Industrial Estate of Kano, Nigeria. Journal of Basic and Applied Scientific Research, 1(7): 533 – 538.
[41] Jigam, A. A., Dauda, B. E., Jimoh, T., Yusuf, H. N., & Umar, Z. T. (2011) Determination of Copper, Zinc, Lead and some Biochemical Parameters in Fresh Cow Milk from Different Locations in Niger State, Nigeria. African Journal of Food Science, 5(3): 156-160.
[42] Zodape, G. V., Dhawan, V. L., & Wagh, R. R. (2012) Determination of Metals in Cow Milk Collected from Mumbai City, India. ECO Revolution, 244(17): 270-274.
[43] Kazi, M. A. (2015) Mineral Analysis of Milk through Atomic Absorption Spectroscopy and their Biological Role in Human Life. Int’l Journal of Advances in Chemical Engg., & Biological Sciences (IJACEBS), 2(2): 113-115.
[44] Shahriar, S. M., Akther, S., Akter, F., Morshed, S., Alam, M. K., Saha, I., Halim, M. A. & Hassan, M. M. (2014) Concentration of Copper and Lead in Market Milk and Milk Products of Bangladesh. International Letters of Chemistry, Physics and Astronomy, 27: 56-63.
[45] Aniello, A., Rosa, C., Maria, M., Catellani, P., Maria, R., Salvatore, P. & Cortesi, M. L. (2006) Heavy Metal Concentrations in Dairy Products from Sheep Milk Collected in Two Regions of Southern Italy. Acta Vet. Scand., 47(1): 69-74.
[46] Batool, F., Iqbal, S., Tariq, M. I., Akbar, J., Noreen, S., Danish, M. & Wei, K. C. (2016) Milk: Carrier of Heavy Metals from Crops through Ruminant Body to Human Beings. J. Chem. Soc. Pak., 38 (01): 39 – 42.
[47] Sarsembayeva, N. B., Abdigaliyeva, T. B., Utepova, Z. A., Biltebay, A. N. & Zhumagulova, S.Zh. (2020) Heavy metal levels in milk and fermented milk products produced in the Almaty Region, Kazakhstan. Veterinary World, 13(4): 609-613.
[48] Gaucheron, F. (2005) The minerals of milk. Reprod. Nutr. Dev., 45: 473–483.
[49] Shahbazi, Y., Ahmadi, F. & Fakhari, F. (2016) Voltammetric determination of Pb, Cd, Zn, Cu and Se in milk and dairy products collected from Iran: An emphasis on permissible limits and risk assessment of exposure to heavy metals. Food Chemistry, 192: 1060-1067.
Kabiru, Adamu Y., Gwarjiko, Idris U. “Heavy Metals Contamination and Physicochemical Properties of Nono Sold in Wushishi Local Government Area of Niger State, Nigeria” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-6-issue-12, pp.11-15 December 2021 UDOI: https://dx.doi.org/10.51584/IJRIAS.2021.61201
Evaluation of Nutritional and Phytochemical Compositions of Two bitter Leaf (Vernonia amygdalina) Accessions in Nigeria
Okolie, Henry, Ndukwe, Okorie, Obidiebube, Eucharia, Obasi, Chiamaka, Enwerem, Juliet – December 2021 Page No.: 16-20
A comparative analysis was done at the Food Profiling Biotechnology Laboratory, National Root Crops Research Institute (NRCRI) Umudike, Umuahia to investigate the proximate, minerals, vitamins and phytochemical compositions of Upland and Riverine accessions of bitter leaf (Vernonia amygdalina). Riverine accession contained more Ash (9.45mg/100g) while Upland accession contained more crude fiber (4.17%),fat (2.44%),carbohydrate(40.54mg/100mg)and energy value (288k/cal).The presence of more ash in Riverine bitter leaf is a confirmation of the presence of more mineral elements. sodium (180.36mg/100g), magnesium(162.54mg/100g), phosphorus(27.8mg/100g), potassium(949.35mg/100mg), iron(1.13 mg/100g) and zinc (0.48 mg/100g). This makes it a very good source of minerals especially as it can be taken raw. The results showed that Riverine accession contained more Vitamin B1 (0.16 mg/100g) and Vitamin E (0.32 mg/100g). While the upland accession contained more of Vitamin B2 (0.22 mg/100g) and VitaminB3 (0.15 mg/100mg). Upland accession contained more Tannins (0.75%), Phytate (124.13 mg/100g), Steriods (0.002%) and Oxalate (1.48 mg/100g),Cyanogenic glycosides (44.77 mg/100g), Anthraquinone (0.06%) than Riverine Upland accession which contained more Saponin (0.21%). Total Phenols, Flavonoids and Alkaloids were not different. Correlation analysis between phytochemical and proximate components showed that the phytochemical components correlated positively at 0.01 level of significance among themselves and with the proximate components except for saponin, anthraquinone and steroids.
Page(s): 16-20 Date of Publication: 08 January 2022
Okolie, Henry
Department of Crop Science and Horticulture, Faculty of Agriculture, Nnamdi Azikiwe University,Awka Nigeria
Ndukwe, Okorie
Department of Crop Science and Horticulture, Faculty of Agriculture, Nnamdi Azikiwe University,Awka Nigeria
Obidiebube, Eucharia
Department of Crop Science and Horticulture, Faculty of Agriculture, Nnamdi Azikiwe University,Awka Nigeria
Obasi, Chiamaka
Department of Crop Science and Horticulture, Faculty of Agriculture, Nnamdi Azikiwe University,Awka Nigeria
Enwerem, Juliet
Department of Crop Science and Horticulture, Faculty of Agriculture, Nnamdi Azikiwe University,Awka Nigeria
[1] Adenuga, W., O.N. Olaleye, and P.A. Adepoju. (2010). Utilization of bitter vegetable leaves (Gongronema latifolium, Vernonia amygdalina) and Garcinia kola extracts as substitutes for hops in sorghum beer production. Afr. J. Biotechnol. 9:8819–8823.
[2] Akpaso, M. I., Atangwho, I. J., Akpantah, A., Fischer, V.A., Igiri, A. O. and Ebong, P. E. 2011. Effect of Combined Leaf Extracts of Vernonia amygdalina (Bitter Leaf) and Gongronema latifolium (Utazi) on the Pancreatic β-Cells of Streptozotocin-Induced Diabetic Rats. British Journal of Medicine & Medical Research. 1(11):24–34.
[3] Alara, O.R., Nour, A., Adbul-mudalip, S.K., and Olalere, O. A. (2017). Phytochemical and pharmacological properties of Vernonia amygdalina-A REVIEW. J Chem. Eng. & Industrial Biotechnol 2:80-96. https://doi: 10.15282/JCEIBV2-07.29/9/2017/2.2.
[4] AOAC (2005), Official methods of analysis. 18th ed. Association of Official Agricultural Chemists, Washington DC.
[5] .AOAC (2006). Official methods of analysis. 18th ed. Association of Official Agricultural Chemists, Gaithersburg, MD.
[6] Ayoola, G. A., Coker, H. A., Adesegun, S. A., Adepoju-Bello, A. A., Obaweya, K., Ezennia, E. C., & Atangbayila, T. O. (2008). Phytochemical screening and antioxidant activities of some selected medicinal plants used for malaria therapy in Southwestern Nigeria. Tropical Journal of Pharmaceutical Research, 7(3), 1019-1024.
[7] Devi, Ch.Bimola,Th. Nandakishore,Sangeeta N,Gomi Basar,N.Omita Devi,Sungdirenla Jamir and M.Amuba Singh(2014):Zinc in Human health.IOSR Journal of Dental and Medical Sciences (IOSR-JDMS) e-ISSN: 2279-0853, p-ISSN: 2279-0861.Volume 13, Issue 7 Ver. II (July. 2014), PP 18-23 www.iosrjournals.org
[8] Egharevba, C., Osaymwenre, E., Imieje, V., Ahomafor, J., Akunyili, C., Udu-Cosi, A. A. Onyekaba,T .J. Osakue, J. A., Iftikhar, A., and Falodun, A. (2014) Significance of Bitter Leaf (Vernonia amygdalina) In Tropical Diseases and Beyond: A Review. Mal Chem. Control & Elimination.3 120. https://doi:10.4172/2090-2778.1000120.
[9] Ezekiel A, Ojo AA, Ogunmodede OT, Adewumi DF. 2015. Antioxidant Activities and Nutritional Composition of Vernonia amygdalina. Int. J of Basic Appl. Sci., 4(1): 9-16.
[10] George will, OA. and George will, U. O. 2010. Evaluation of the Anti-inflammatory Activity of Extract of Vernonia amygdalina. Asian Pacific Journal of Tropical Medicine.150–151.DOI: 10.1016/S1995-7645(10)60057-0
[11] Hamzah, R.U., Jigam, A.A., Makun, H.A. and Egwin, E.C. (2013). Antioxidant Properties of Selected African Vegetables, Fruits and Mushrooms: A Review. Intech, 9, 203-250. https:// doi.org/10.5772/52771.
[12] Ilondu, E. M. (2013). Phytochemical composition and efficacy of ethanolic leaf extracts of some Vernonia species against two phytopathogenic fungi. Journal of Bio pesticides, 6(2), 165.
[13] Kadiri O. 2015. Studies on the Chemical Composition, Functional and Antioxidant Properties of Carica Papaya (Pawpaw) Seed flour, Protein concentrate and Protein isolate, Protein concentrate and Protein isolate. M.sc thesis Department of Food Science and Technology, Obafemi Awolowo University, Ile-Ife, Nigeria, pp.75-78
[14] Kambizi, L. and Afolayan, A.J. (2001). An ethnobotanical study of plants used for the treatment of sexually transmitted diseases (njovhera) in Guruve District, Zimbabwe. Journal of Ethno pharmacology, 77(1), 5–9. https:// doi.org/10.1016/S0378-8741 (01)00251-3
[15] Kaur, C., and H.C. Kapoor. (2001). Antioxidants in fruits and vegetables – the millennium’s health. Int. J. Food Sci. Technol. 36:703–725. Doi: 10.1046/j.1365-2621.2001.00513.x
[16] Kumari, A., A.K. Parida, J. Rangani, and A. Panda. (2017). Antioxidant activities, metabolic profiling, proximate analysis, mineral nutrient composition of Salvador apersica fruit; Unravel a potential functional food and a natural source of pharmaceuticals. Front Pharmacol. 8:61 (abs). Doi: 10.3389/fphar.2017.00061
[17] Liu, W., Yin, D., Li, N., Hou, X., Wang, D., Li, D., & Liu, J. (2017). Influence of environmental factors on the active substance production and antioxidant activity in Potentilla fruticosa L. and its quality assessment. Scientific reports, 6(1), 1-18.
[18] Nwaoguikpe, R.N. (2010). The effect of extract of bitter leaf (Vernonia amygdalina) on blood glucose levels of diabetic rats. International Journal of Biology and Chemical Sciences, 4(3), 729-729. https://doi.org/10.4314/ijbcs.v4i3.60500
[19] Oseni, K. and Babatunde, O. (2016). Vernonia amygdalina: An Underutilized Vegetables with Nutraceutical Potentials – A Review. Turkish Journal of Agriculture – Food Science and Technology, 4(9), 763-768. https://doi.org/10.24925/turjaf.v4i9.763- 768.570
[20] Quasie, O., Zhang, Y., Zhang, H., Luo, J. and Kong, L. (2016). Four new steroid saponins with highly oxidized side chains from the leaves of Vernonia amygdalina. Journal of Photochemistry Letters, 15, 16–20. https://doi.org/10.1016/j.phytol.2015.11.002
[21] Toyang, N. J. and Verpoorte, R. (2013). A Review of the Medicinal Potentials of Plants of the Genus Vernonia (Asteraceae). Journal of Ethno pharmacology. 146(3): 681–723.
[22] Udochukwu, U., Omeje, F.I., Uloma, I.S., Oseiwe, F.D. (2015). Phytochemical analysis of Vernonia amygdalina and Ocimum gratissimum extracts and their antibacterial activity on some drug resistant bacteria. American Journal of Research Communication, 3(5), 225–235.
[23] Usunobun, U. and Ngozi, O. (2016). Phytochemical analysis and proximate composition of Vernonia amygdalina. International Journal of Scientific World, 4(1), 11. https://doi.org/10.14419/ ijsw.v4i1.5845
Okolie, Henry, Ndukwe, Okorie, Obidiebube, Eucharia, Obasi, Chiamaka, Enwerem, Juliet “Evaluation of Nutritional and Phytochemical Compositions of Two bitter Leaf (Vernonia amygdalina) Accessions in Nigeria” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-6-issue-12, pp.16-20 December 2021 DOI: https://dx.doi.org/10.51584/IJRIAS.2021.61202
Cancer Radiotherapy Based on Attenuation Coefficient
Bibek Koirala, Saddam Husain Dhobi, Kishori Yadav, Jeevan Joyti Nakarmi, Khem Poudyal – December 2021 Page No.: 21-24
The objective of this work is to select the best chemo-material based on the attenuation coefficient. WinXcom software is used to study the attenuation coefficient of tissue, bone, gold, copper oxygen, water, and mixture. The mixture contains 0.5 fractional weight of gold, 0.3 fractional weight of copper, and 0.2 fractional weight of oxygen. The attenuation coefficient determines the loss of radiation when entering into the medium and loss determines the penetration depth of radiation and damage of materials. The amount of radiation loss when the radiation passes through samples gives the information to select the best chemotherapy materials. Because loss of radiation may be due to absorption, scattering ad emission of electrons from the target. In this work, we consider loss due to the emission of the electron because emitted electrons are used to kill the tumor cell. In this work, the mixture of gold, copper, and oxygen sample has a medium attenuation coefficient that means the emitted electron has the best preformation to kill the cancer cell. This is because the emitted electron has not had enough energy to reach healthy tissue and bone. Therefore, both healthy tissue and bone become safer when the mixture sample is used as a chemo-material instead of a single element. If a single element (Au, Cu, and O) is used as chemo-material for cancer therapy, the energy of electron emitted by Au is greater and it may affect the tissue and bone while the energy emitted from Cu and O has less energy and can’t kill the larger amount of cancer cell. Therefore, if the mixture of chemo-material of gold, copper, and oxygen is better and safer than the individual element to load the tumor for radiotherapy.
Page(s): 21-24 Date of Publication: 10 January 2022
Bibek Koirala
Department of Physics, Patan Multiple Campus, Tribhuvan University, Lalitpur-44700, Nepal
Innovative Ghar Nepal, Lalitpur-44700
Saddam Husain Dhobi
Department of Physics, Patan Multiple Campus, Tribhuvan University, Lalitpur-44700, Nepal
Robotics Academy of Nepal, Lalitpur-44700, Nepal
Innovative Ghar Nepal, Lalitpur-44700
Kishori Yadav
Department of Physics, Patan Multiple Campus, Tribhuvan University, Lalitpur-44700, Nepal
Innovative Ghar Nepal, Lalitpur-44700
Jeevan Joyti Nakarmi
Department of Physics, Patan Multiple Campus, Tribhuvan University, Lalitpur-44700, Nepal
Innovative Ghar Nepal, Lalitpur-44700
Khem Poudyal
Institute of Engineering, Pulchowk Campus, Tribhuvan University, Lalitpur-44700, Nepal
[1] Agency for Toxic Substances and Disease Registry: Division of Health Assessment and Consultation, “Chemicals, Cancer, and You,” 2009,
https://www.atsdr.cdc.gov/emes/public/docs/Chemicals,%20Cancer,%20and%20You%20FS.pdf acessed at 5th december, 2021.
[2] C. Washington, D. Leaver, Principles and Practice of Radiation Therapy, Elsevier, Amsterdam 2015, pp.12-16.
[3] T. W. Speer, Targeted Radionuclide Therapy, Lippincott Williams & Wilkins, PA 2010, pp. 145-150.
[4] T. Priestman, Cancer Chemotherapy in Clinical Practice, SpringerVerlag London 2012, p.1-16.
[5] A. Alam, U. Farooq, R. Singh, V.P. Dubey, S. Kumar, R. Kumari, K. K. Naik, B.D. Tripathi and K.L. Dhar, Chemotherapy Treatment and Strategy Schemes: A Review, Open Access Journal of Toxicology, 2(5), 2018, pp.1-2.
[6] R. Adam, G. Pascal, D. Castaing, D. Azoulay, V. Delvart, et al., Tumor progression while on chemotherapy: a contraindication to liver resection for multiple colorectal metastases?, Annals of Surgery, 240(6), 2004, pp.1052- 1061.
[7] B. Desoize, Metals and Metal Compounds in Cancer Treatment, Anticancer Research, 24, 2004, pp.1529-1544.
[8] Pan American Health Organization and WHO America, Safe Handling of Hazardous Chemotherapy Drugs In Limited-Resource Setting, Washington, D.C. 2013, pp.1-62.
[9] S. A. Hurvitz, Dose intensification of chemotherapy for early breast cancer in the age of de-escalation, The Lancent, 393, 2019, pp.1390-1392.
[10] Early Breast Cancer Trialists’ Collaborative Group, Effect of radiotherapy after breast‐conserving surgery on 10‐year recurrence and 15‐year breast cancer death: meta‐analysis of individual patient data for 10 801 women in 17 randomised trials, Lancet, 378, 2011, 1707–1716.
[11] A. Matthews, S. Stanway, R.E. Farmer, Long term adjuvant endocrine therapy and risk of cardiovascular disease in female breast cancer survivors: systematic review, BMJ, 363, 2018, pp.3845-3850.
[12] J. F. Hainfeld, F. A. Dilmanian, D. N. Slatkin and H. M. Smilowitz, Radiotherapy enhancement with gold nanoparticles, Journal of Pharmacy and Pharmacology, 60, 2008, pp.977–985.
[13] Y. Liu, M. Yang, J. Luo and H. Zhou1, Radiotherapy targeting cancer stem cells “awakens” them to induce tumour relapse and metastasis in oral cancer, International Journal of Oral Science 12, 2020, pp.12-14.
[14] H. E. Barker, J.T.E. Paget, A.A. Khan, and K. J. Harrington, The Tumour Microenvironment after Radiotherapy: Mechanisms of Resistance and Recurrence, Nature Review Cancer, 15(7), 2015, pp.409–425.
[15] H. Sato, S. Demaria and T. Ohno, The role of radiotherapy in the age of mmunotherapy, Japanese Journal of Clinical Oncology, 51(4), 2021, 513–522.
[16] D. F. Jackson and D. J. Hawkes, X-ray attenuation coefficients of elements and mixtures, Physics Reports, 70 (3), 1981, pp.169–233.
[17] M. J. Berger and J. H. Hubbell, XCOM: Photon Cross Sections Database: Web Version 1.2, National Institute of Standards and Technology, Gaithersburg, Md, USA, 1987.
[18] L. Gerward, N. Guilbert, K. B. Jensen, and H. Levring, WinXCom: a program for calculating X-ray attenuation coefficients, Radiation Physics and Chemistry, 71 (3-4), 2004, pp.653–654.
[19] K. Singh and L. Gerward, Summary of existing information on gamma-ray and X-ray attenuation coefficients of solutions, Indian Journal of Pure and Applied Physics, 40(9), 2002, pp.643–649.
[20] S. R. Manohara, S. M. Hanagodimath, and L. Gerward, Energy dependence of effective atomic numbers for photon energy absorption and photon interaction: studies of some biological molecules in the energy range 1 keV-20 MeV, Medical Physics, 35(1), 2008, pp.388–402.
Bibek Koirala, Saddam Husain Dhobi, Kishori Yadav, Jeevan Joyti Nakarmi, Khem Poudyal “Cancer Radiotherapy Based on Attenuation Coefficient” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-6-issue-12, pp.21-24 December 2021 DOI: https://dx.doi.org/10.51584/IJRIAS.2021.61203
Enhanced Transmission Efficiency of Multimode Optic Fiber for Long Distance Data Transmission Using Ann Controller
Uchechi, Ekeh J., Eneh I.I, Onoh G.N, Chidiebere U.- December 2021 Page No.: 25-32
The drastic slow in the transmission efficiency in multimedia optic fiber which has demoralized the moral of the egalitarian subscribers are as a result of congestion. This sad situation of congestion in the network is subdued by introducing enhanced transmission efficiency of multimode optic fiber for long distance data transmission using ANN controller. It is done in this manner, characterizing the network under study, determining the causes of delay in transmission efficiency of multimode optic fiber such as congestion low throughput and much bit error rate from the characterized network, training ANN in the causes of delay in transmission network to enhance its performance and designing a SIMULINK model for enhanced transmission efficiency of multimode optic fiber for long distance data transmission using ANN controller. The results obtained are the lowest conventional congestion occurred in 2s and is1.76 Engar while that when ANN controller is incorporated in the system at the same time is1.703Engar thereby enhancing the transmission efficiency of multimedia optic fiber and the highest conventional throughput is 8bps while the throughput when ANN controller is incorporated in the system is 8.542bps that tremendously enhanced the transmission efficiency of multimode optic fiber.
Page(s): 25-32 Date of Publication: 10 January 2022
Uchechi
Enugu State University of Science and Technology
Ekeh J.
Enugu State University of Science and Technology
Eneh I.I
Enugu State University of Science and Technology
Onoh G.N
Enugu State University of Science and Technology
Chidiebere U.
Destinet Smart Technologies, Enugu State, Nigeria
[1] Agrawal G. (2012) “Signal power and fiber length analysis” [Available] Researchgate
[2] Birinder G. (2011) multimode optic fiber transmission to enhance congestion control in the communication network. [Available] Researchgate
[3] Clause T. (2015) Transmission efficiency of multimode optic fiber for long. [Available] Researchgate
[4] Clausen. J. (2015) Distance data transmission using OLSR. [Available] Researchgate
[5] David, M (2017) “Compensation of modal dispersion in multimode fiber (MMF) systems. [Available] Researchgate
[6] Delango B. (2013) “Noisy channel informationrate channel capacity” [Available] Researchgate
[7] Lewis F, Jagannathan S. and YesIldirek A. (2020) “Neural Network Control of Robot Manipulators And Nonlinear Systems. [Available] Researchgate
[8] Forsgren E. (2010) “European Foulbrood in honeybees. J. Invertebr. Pathol. 103
[9] Health Canada (2018) “Evaluation of Canadian bee mortalities in 2018 related to neonicotinoid pesticides. Interim Report.
[10] Harbo J. (2017) “Effect of population size on brood production, worker survival and honey gain in colonies of honeybees. J. Apic. Res.
[11] Kae R (2017) “Improving the transmission efficiency of multimode optic fiber for long distance data transmission using CGSR; [Available] Researchgate
[12] Klein A.M, Vaissiere B.E, Cane J.H, Steffan-Dewenter I., Cunningham S.A, Kremen C. (2017) “Importance of pollinators in changing landscapes for world crops and enhancing data transmission. Proc. R. Soc. Lond. B. Biol. Sci. 274 pp 303–313.
[13] Kum M. (2018) “Multimode optic fiber transmission system transmitting through short distance”; [Available] Researchgate
[14] Larsson M. (2015) “Scheme for increase the effective signal to noise ratio” [Available] Researchgate
[15] Mahdieh T. (2010) “Single mode and Multimode fibers analysis” [Available] Researchgate
[16] Michael C. Nechyba and Yangsheng Xu, (2016) “Neural Network Approach to Control System Identification With Variable Activation Functions”, The Robotics Institute Carnegie Mellon University Pittsburgh, Pa 15213
[17] Morioka. N. (2009) “Mitigation of nonlinear effects in optical fiber” [Available] Researchgate
[18] Moshine. E (2018) “Multimode optic fiber that handles different networks with various traffic” [Available] Researchgate
[19] Navaneeth J (2010) “Energy concentration and losses”; [Available] Researchgate
[20] Nelles.O, (2001)”Nonlinear System Identification: From Classical Approaches to Neural Networks”. Springer Verlag.
[21] Neubauer K, (2014) “Diversity technique for wireless channel” [Available] Researchgate.
[22] Okwudibe C. (2017) “Microbends discontinuities or fiber imperfection” [Available] Researchgate
[23] Sarkar Y. (2014) “The channel capacity discussed in first scenario is more useful” [Available] Researchgate
Uchechi, Ekeh J., Eneh I.I, Onoh G.N, Chidiebere U. “Enhanced Transmission Efficiency of Multimode Optic Fiber for Long Distance Data Transmission Using Ann Controller” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-6-issue-12, pp.25-32 December 2021 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-6-issue-12/25-32.pdf
Enhanced Transmission Efficiency of Multimode Optic Fiber for Long Distance Data Transmission Using Fuzzy Controller
Uchechi B.T., Ekeh J., Chidiebere U.- December 2021 Page No.: 33-38
The high rate of delay in multimode optic fiber transmission efficiency has agitated to introduction of enhanced transmission efficiency of multimode optic fiber for long distance data transmission using fuzzy controller. It is done in this manner, characterizing the network understudy, evaluating the causes of low transmission in multimode optic fiber from the characterized data, designing a multimode optic fiber rule base that will eradicate the causes of low transmission in multimode like congestion and designing a SIMULINK model for enhanced transmission efficiency of multimode optic fiber for long distance data transmission using fuzzy controller. The results obtained after its extensive simulation are the lowest conventional bit error rate occurred in 10seconds and it is 0.000020 while when fuzzy controller is imbibed in the system it is 0.000001913. With these results it shows that when fuzzy controller is introduced in the system the efficacy of multimode transmission enhanced, the lowest conventional congestion is 1.76 while that when fuzzy logic controller is inculcated in the system is 1.683. With these obtained results, it indicates that when fuzzy controller is incorporated in the system the transmission efficiency of multimode optic fiber increased and the highest conventional throughput is 8 while the throughput when fuzzy controller is embedded in the system is 8.748.The higher throughput observed when fuzzy controller is applied in the system increased the transmission efficiency of multimode optic fiber.
Page(s): 33-38 Date of Publication: 24 January 2022
Uchechi
Enugu State University of Science and Technology, Nigeria
Ekeh J.
Enugu State University of Science and Technology
Chidiebere U.
Destinet Smart Technologies, Enugu State, Nigeria
[1] Singh, S. P., & Sing, N. (2007). Non linear effects in optical fibers; Progress In Electromagnetics Research, PIER 73, 249–275.
[2] Khalid, J., Phuritatkul, K., Yusheng, J., & Yongbing, Z. (2011). ‘Blocking probability of a preemption-based bandwidth-allocation scheme for service differentiation in OBS networks’, J. Lightwave Technol., 24(8), 2986–2993.
[3] Nomura, T., Ueda H., Itoh C, Kurokawa H, Tsuboi T. & Kasai H. (2007). ‘Design of optical switching module for gigabit Ethernet optical switched access network’, IEICE Trans. Commun., 89(11), 302.
[4] Richardson, D.J. (2016). New optical fibres for high capacity optical communication. Philos Trans A Math Phys Eng Sci. 2016 Mar 6; 374(2062): 20140441.
[5] Robinson, G., Zheng, J., & Mouftah, H. T., (2013). ‘Media access control for Ethernet passive optical networks: an overview’, IEEE Commun. Mag., 43(2), 145–150.
[6] Senior, J. M., Phillips, A., Leeson, M., Johnson, R., Van, M. O., Deventer, Peter, J. M. & Van de Voorde I. (1996); ‘Upgrading Super PON: next step for future broadband access networks’ Proc. SPIE, 2919, 260–266.
[7] Singh, S. P., & Sing, N. (2007). Non linear effects in optical fibers; Progress In Electromagnetics Research, PIER 73, 249–275.
[8] Vedran, M., Maniadakis, D., Mikac, B. & Varoutas, D. (2014). On the influence of the underlying network topology on optical telecommunication network availability under shared risk link group failures, in Proceedings of the 2014 10th International Conference on the Design of Reliable Communication Networks (DRCN) (ed. Van Daele, P.; University of Ghent, Ghent, Belgium), 1–8 doi:10.1109/DRCN.2014.6816135 PDF
[9] Yousif, J., & Senior, J. M. (2009). Optical fiber communication; principles and practice; Prentice Hall Europe; Pearson Education Limited.
[10] Zhi, M. L. (2004). The design of High-Capacity Fiber-Optic Transport Systems, The Institute of Optics, The College School of Engineering and Applied Sciences; University of Rochester, Rochester, New York.
Uchechi B.T., Ekeh J., Chidiebere U. “Enhanced Transmission Efficiency of Multimode Optic Fiber for Long Distance Data Transmission Using Fuzzy Controller” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-6-issue-12, pp.33-38 December 2021 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-6-issue-12/33-38.pdf
Enhancing the Performance of Pipeline Leakage Detection System Using Artificial Neural Network
Obaji C.M., Okonkwo O.R., Chidiebere U.- December 2021 Page No.: 39-44
This research presents enhancing the performance of pipeline leakage detection system using artificial neural network. The study reviewed many literatures and singled out electrochemical sensor as the best when compared to the rest in sensing gas leakages. This was used as a sensing element to collected data of the gas leakages and then a feed forward neural network was modeled and trained with the gas data using back propagation algorithm. A gas reference model was generated after the training and deployed with the sensing element as an improved gas leakage detection system using Matlab. The system was simulated and the result showed high gas leakage detection accuracy of 98.95% was achieved, near real time detection of 11.23ms, MSE value of 0.000103Mu and a regression 0.999 was recorded. The result was also compared with another work developed with neural network which recorded 94.7% and the result showed that the new system achieved 4.75% improvement in detection accuracy which may look small but is very good when considering the delicate nature of natural gas leakages and the big problem it can cause.
Page(s): 39-44 Date of Publication: 24 January 2022
Obaji C.M.
Enugu State University of Science and Technology, Nigeria
Okonkwo O.R.
Enugu State University of Science and Technology, Nigeria
Chidiebere U.
Destinet Smart Technologies, Enugu State, Nigeria
[1] Ali Hasan Dakheel, Awfa Hasan Dakheel, Haider Hadi Abba, (2019) “Intrusion detection system in gas-pipeline industry using machine learning”; Periodicals of Engineering and Natural Sciences ISSN 2303-4521 Vol. 7, No. 3, September 2019, pp.1030-1040
[2] Boaz, L.; Kaijage, S.; Sinde, R. An overview of pipeline leak detection and location systems. In Proceedings of the 2nd Pan African International Conference on Science, Computing and Telecommunications (PACT 2014), Arusha, Tanzania, 14–18 July 2014; IEEE: Piscataway, NJ, USA, 2014.
[3] Chaitali Bagwe, Vidya Ghadi, Vinayshri Naik, Neha Kunte” IOT Based Gas Leakage Detection System with Database Logging, Prediction And Smart Alerting” International Conference on Innovative and Advanced Technologies in Engineering (March-2018); ISSN (e): 2250-3021, ISSN (p): 2278-8719; Volume 13, PP 11-16
[4] Chinwuko Emmanuel Chuka1, Ifowodo Henry Freedom, Umeozokwere Anthony O; Transient Model-Based Leak Detection and Localization Technique for Crude Oil Pipelines; Saudi Journal of Engineering and Technology ISSN 2415-6272
[5] Chis, T. (2017). Pipeline Leak Detection Techniques. Annals. Computer Science Series, 5, 1st Fasc.
[6] Dewi L.and Somantri Y., “Wireless Sensor Network on LPG Gas Leak Detection and Automatic Gas Regulator System Using Arduino” IOP Conference Series: Materials Science and Engineering; 2018 IOP Conf. Ser.: Mater. Sci. Eng. 384 012064
[7] Dharmavaram, S., & Klein, J. A. (2014); “Preventing Loss of Containment through a Systematic Assessment of Hazards, Consequences, and Risks”; American Institute of chemical engineers, Spring Meeting & 6th Global Congress on Process Safety. AICHE, 76a.
[8] Ignacio Barradas, Luis E. Garza, Ruben Morales-Menendez, Adriana Vargas-Martínez. (2009). Leaks Detection in a Pipeline Using Artificial Neural Networks. Part of the Lecture Notes in Computer Science book series (LNCS, volume 5856).
[9] Jyoti Prakash” Artificial Intelligence and Machine Learning Reshaping Today’s Pipeline Leak Detection Systems “; Engage with ARC Advisory Group; November 20, 2018
[10] Mahmoud Z. Iskandarani; Mathematical Modeling and Characterization of Thin Film, Narrow Gap Sensor Array Units (SAU); Al-Zaytoonah Private University of Jordan, P.O. Box 911597, Post Code 11191, Amman, Jordan; American Journal of Applied Sciences 7 (9): 1277-1284, 2010; ISSN 1546-9239
[11] Marco Fagiani, Stefano Squartini, Leonardo Gabrielli, Marco Severini and Francesco Piazza, (2016). A Statistical Framework for Automatic Leakage Detection in Smart Water and Gas Grids. Department of Information Engineering, UniversitàPolitecnicadelle Marche, Via BrecceBianche 1, 60131 Ancona, Italy.
[12] Maria Araujo, (2018). Smart Methane Emission Detection System Development. U. S. Department of Energy National Energy Technology Laboratory. Southwest Research Institute 6220 Culebra Road San Antonio, TX 78238.pp 522-3730
[13] Mutiu Adesina Adegboye 1Wai-Keung Fung and Aditya Karnik “Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches” Communications and Autonomous Systems Group, Robert Gordon University, Aberdeen AB10 7GJ, UK; Accepted: 27 May 2019; Published: 4 June 2019
[14] Olakunle Ibitoye, Omaire Shafiq, Ashraf Matrawy. (2016). A Convolutional Neural Network Based Solution for Pipeline Leak Detection. School of Information Technology Carleton University, Ottawa, Canada.
[15] Osisiogu Ukachi, Williams Yohanna , Zishumba Kudzai, Okpanachi Victor, Maduakor Francis, Ashikwei Desmond; “Pipeline Surveillance and Leakage Detection System with IoT and UAV” 3rd Biennial International Conference on Transition from Observation to Knowledge to Intelligence (TOKI) ; 15-16 August 2019; University of Lagos, Nigeria.
[16] Paulo Hubert, Linilson R. Padovese (2019). A machine learning approach for underwater gas leakage detection. Department of Mechanical Engineering, Petromin Hydrocarbon Asia. The Right Technologies for gas leak detection.
[17] Sidra Rashida, Usman Akram, Shoab A. Khan. (2015). WML: Wireless Sensor Network based Machine Learning for Leakage Detection and Size Estimation. College of Electrical & Mechanical Engineering (CE&ME), National University of Sciences and Technology (NUST), Islamabad, Pakistan. Procedia Computer Science pp 171 – 176
[18] Ulagwu E., Anthony C (2021)”Development of Robust monitoring and control system for closed loop industrial process control over wireless” PhD thesis
[19] Vihar K. (2019) “A quick primer on feed forward neural network” Biult in 2021, Article.
Obaji C.M., Okonkwo O.R., Chidiebere U. “Enhancing the Performance of Pipeline Leakage Detection System Using Artificial Neural Network” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-6-issue-12, pp.39-44 December 2021 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-6-issue-12/39-44.pdf
Effect of Guided-Discovery Approach on Students Academic Achievement in Mathematics in Senior Secondary School in Ushongo Local Government Area, Benue State
Abari, M.T. and Ikyule, P.U.- December 2021 Page No.: 45-47
This research investigated the effect of guided discovery approach on Students’ Academic Achievement in Mathematics in Senior Secondary Schools in Ushongo Local Government Area, Benue state, Nigeria, with a view to establishing whether or not guided-discovery teaching approach would have effect on students‟ achievement in Mathematics. The study raised two specific objectives, two research questions and two related null hypotheses. 120 students were randomly selected for the study as the sample. The instrument for the study was mathematics achievement test. Research questions were answered using mean and standard deviation while analysis of covariance (ANCOVA) was employed in testing null hypotheses at 0.05 level of significance. The findings revealed no significant difference in mean achievement scores of students taught mathematics using Guided-discovery teaching method and those taught with lecture method. The findings also revealed no significant difference in mean achievement scores of male and female students taught Mathematics using Guided discovery approach.
Page(s): 45-47 Date of Publication: 26 January 2022
Abari, M.T.
Mathematics Education Department, Joseph Sarwuan Tarka University Makurdi, Nigeria
Ikyule, P.U.
Mathematics Education Department, Joseph Sarwuan Tarka University Makurdi, Nigeria
[1] Kariper, D. & Musek, J. (2011). Self-Concept and Academic: Slovenia and France. Personality and Individual Differences: Department of Psychology, University of Ljubljana, Slovenia
[2] Luntungan, M. (2012). The effects of group size, memory instruction, and session length on the creative performance in electronic brainstorming groups. Educational Sciences: Theory and Practice, 11(1), 91-95
[3] Modebelu, M.N. & Duvie, A.N. (2012). Inonovation Methods and Strategies for Effective Teaching and Learning.
[4] Modebelu, M.N. (2017). Teacher Work Behavior under female principals administration: Nigeria Journal of Educational Management 6(4) 1-10.
[5] Okoro, J. (2018). Cooperative learning for academic and social gains: Valued pedagogy, problematic practice. European Journal of Education, 45(2), 300-313.
[6] Olorode, Y. & Jimoh, B. N. (2016). Effects of Discovery and Inquiry Approaches in Teaching and Leaning of Biology on Secondary Schools Students‟ Performance in Delta State, Nigeria: Journal of Research in Education and Society 1(1) 30-39
[7] Omotayo, H. (2014). Effects of discovery and inquiry approaches on performance of Students in biology in secondary schools. Unpublished M.ED Thesis, Delta State University, Abraka.
[8] Taber, K. (2011). The effects of cooperative learning on preschoolers‟ mathematics problem-solving ability. Educational Studies in Mathematics, 72(3), 325-340
[9] Wenning, T. G., & Turnipseed, D. L. (2010). Assessing and improving learning in business schools: Direct and indirect measures of learning. Journal of Education for Business, 85(5), 268-273
Abari, M.T. and Ikyule, P.U. “Effect of Guided-Discovery Approach on Students Academic Achievement in Mathematics in Senior Secondary School in Ushongo Local Government Area, Benue State” International Journal of Research and Innovation in Applied Science (IJRIAS) volume-6-issue-12, pp.45-47 December 2021 URL: https://www.rsisinternational.org/journals/ijrias/DigitalLibrary/volume-6-issue-12/45-47.pdf