Published Articles


Paper ID: AJ23422020186110
Paper Title: GEOSPATIAL EVALUATION OF THE IMPACT OF IYIEKE AND EHUOMA WETLAND ECOSYSTEM RESOURCES FOR HOUSEHOLD FOOD SECURITY IN AFIKPO NORTH L.G.A OF EBONYI STATE SOUTH EASTERN NIGERIA.
Lead Author: Otunta-Mayanga Gyspyson Alexius
Co-Author(s): Ngozi Emeka Ekuma; Akombo Godwin

This research was carried out in order to evaluate the impacts of Iyieke and Ehuoma wetland ecosystem resources on household food supply in Afikpo north L.G.A of Ebonyi state due to the problems of the effects of climate change, herdsmen/farmers clash on Iyieke and Ehuoma wetlands ecosystem resources while the objectives include:1. To determine the status of Iyieke and Ehuoma wetlands ecosystem resources from 1986 to 2018 for household food security. 2. To report on the Iyike and Ehuoma wetlands resources for household food security. Data was collected through satellite imageries, secondary and questionnaire means. Image processing was done using the ENVI CLASSIC 5.0 and IDRISI SELVA software (Clark Labs, Worcester, MA, USA).Landsat 5TM, Landsat 8 OLI/TIRS and ETM+ were imported into ENVI CLASSIC 5.0 environment for radiometric corrections while model prediction was performed in IDRISI SELVA 17.0. Image composites was performed using near-infrared band 4, red-band 3 and green band 2 for both Landsat 5TM and ETM+ while Landsat 8 OLI/TIRS composite was performed using bands 5 ,4,3 of the imagery. This information in combination with obvious spectral signatures was used to identify 15 places where land category persists over time. These places were used to generate ground reference information to perform accuracy assessment for the classified maps. The maximum Likelihood classification algorithm was performed for the image classification of the study area. The 1987 Landsat 5TM, 2002 ETM+ and 2017 Landsat 8 OLI/TIRS imageries were classified into five (5) categories: wetland, cultivation, settlement, water and forest. The overall accuracy assessment (OA) and Kappa Coefficient (K) was determined in GIS environment. Cluster random sampling technique was used in the study. A sample size of 60 households was chosen in each cluster. This gives us a total sample size of 360 household. Change detection and CA-Markov analysis was used to determine the status of Iyieke and Ehuoma wetlands ecosystem resources for household food security. The land use change detection was divided into three conditions; past, current and future time. Past and current conditions were analyzed by using supervised classification and image differencing methods. Meanwhile, the future condition was analyzed by using a Markov chain method based on past and current land uses. Descriptive statistics and Excel for windows software were used including frequencies and percentages respectively. The results thereof indicate that Iyieke and Ehuoma wetland ecosystem is very dynamic in nature. The trend of change in 2037 proper indicates that a general growth performance of all the land use land cover classes as against their trend in 2017-2037. It is highly predicted that wetland class category will increase by 38% against its reduction in 2017-2037 by -0.04%,cultivation class category by 23% against its reduction in 2017-2037 by 0.49%, settlement class category by 16% against its increase in 2017-2037 by1.52%,water class category by 3% against its increase in 2017-2037 by 0.25% and forest class category by 20% against its reduction rate in 2017-2037 by -1.72%.Socio-Economic characteristic of all respondents in the sampled villages showed a positive impact trends in aid to household food security in Afikpo north L.G.A of Ebonyi State. Above all, the response of all the respondents in the sampled villages of Ndibe/Enohia Nkalu,Ugwuagu, Unwana, Akpoha,Ohaisu and Ibii/Ozziza respectively, on the impact of Iyieke and Ehuoma wetland ecosystem resources to household food security was highly positive.

Paper ID: AJ2342202012128
Paper Title: WASTE TO WEALTH CREATION: A CASE STUDY OF A PROPOSAL TEMPLATE FOR FUNDING THE FABRICATION OF A BIODIGESTER FOR SMALL SCALE BIOGAS PRODUCTION
Lead Author: MBABUIKE, I. U.
Co-Author(s): IFEDIEGWU, C. N.; NWOKE, N. O.

a well prepared proposal is key to attracting funding by convincing a potential trust fund donor of the viability of any project. In this paper, a template for preparing a fabrication proposal is presented with a case study of a biodigester for the production of biogas for domestic consumption. The proposed steps are numbered 1 to 8 starting with an executive summary of the project to be fabricated. A sample of fabricators’ profile is presented.

Paper ID: AJ2342202016172
Paper Title: THE IMPLICATION OF APPLYING ANSOFF MODEL ON MARKETING PERFORMANCE FOR NIGERIAN AUTOMOBILE COMPANIES. A CASE STUDY OF INNOSON VEHICLE MANUFACTURING PLANT NNEWI
Lead Author: Nnanna Innocent
Co-Author(s): Nnachi Benjamin; Okafor, G. O.

This study aims to determine the impact of Ansoff model application on marketing performance on INNOSON vehicle manufacturing company. To achieve the objectives of the study, a questionnaire was developed and distributed. The study population consists of all INNOSON vehicle manufacturing Company employees, and convenience sample was selected 150 questionnaire were distributed, 110 were recalled which representing (73%) of the sample. The study finds that there is a strong impact of Applying Ansoff Model (market penetration strategy, product development strategy, market development strategy, diversification strategy) on marketing performance in INNOSON vehicle manufacturing Company. The study made some recommendations which enable the decision-makers to use the strategies of Ansoff Model in effective way, this will help INNOSON vehicle manufacturing Company to increase the levels of marketing performance and to achieve its objectives, as survival, growth, achieve benefits and profits.

Paper ID: AJ234220201116120
Paper Title: STUDY OF THE TENSILE PROPERTIES OF UKAM FIBRE REINFORCED CASHEW NUT SHELL RESIN COMPOSITE
Lead Author: Nnachi Benjamin O.
Co-Author(s): Ibe, Godwin Anwara; Jasper, C. Onyegbule

The tensile properties of Ukam fibre cashew nut shell resin composite were studied for possible structural application in engineering. Basically, the hand lay–up method was employed to manufacture the test samples of the composite by 40: 60 weight ratio and testing the tensile properties such as tensile strength and modulus of elasticity using the instron tensile machine. Consequently, the experiment demonstrated that the Ukam fibre reinforced cashew nut shell resin composite has an ultimate tensile strength of 40.5 Mpa and a Young Modulus of 1GPa. The above results indicate that ukam fibre reinforced cashew nut shell resin composte is suitable for low cost applications in engineering and is a good alternative to artificial glass fibre.

Paper ID: AJ234220201111115
Paper Title: REVIEW OF LTE SIGNAL PROCESSING RESEARCH WORKS
Lead Author: Ali, Uche Egwu
Co-Author(s): Ibiam, Nzeogu Inya; Nnubuogu, Nonso Foster

This work is a review of related researches in LTE with SDR from 2008 to 2017. The review is carried out by analysing the keywords in articles downloaded from web of science using the search topic "LTE signal processing" with a time span from 2008 to 2017. The bibliometric map from the analysis is made of three clusters. The clusters are arranged in such a way that keywords relevant to LTE parameters belong to one cluster, those relevant to steps in processing LTE signal belong to another cluster while the next cluster is made of keywords relevant to LTE related networks and technologies. The red cluster contains keywords which are LTE parameters and steps taken in processing LTE signals. The green cluster contains keywords such as SDR, power amplifier, CMOS and others which are related to LTE systems. The blue cluster keywords are concerned with networks similar to LTE and the processes in which these networks transmit data from one point to the other. This works shows that research in LTE signal processing has been at the increase. It equally reviews the terminologies use in processing LTE signal and many LTE system parameters.

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