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    Wyświetlanie 1-3 z 3
    Tytuł:
    Ecological risk assessment of heavy metals in soil developed on coastal marine sediment along coastal area in Anantigha, Calabar, Nigeria
    Autorzy:
    Aki, E. E.
    Isong, I. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/1076124.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    ecological risk factor
    geo-accumulation Index
    heavy metal
    pollution load index marine sediment
    Opis:
    Coastal areas in Anantigha are utilized as dumpsite for industrial and domestic wastes including effluent from local industries and inhabitants of the area despite their usage for crop cultivation. Thus, the present study was designed to assess the concentration, pollution load and ecological risk of heavy metal in Anantigha coastal area. Standard pollution indices such as contamination factor (Cf), degree of contamination, pollution load index (PLI), enrichment factor (EF), geo-accumulation index (Igeo) and ecological risk index were deployed to assess the level of heavy metals contamination in the area. The results showed that the sediment was acidic under dried conditions and low in conductivity. The mean concentration levels of all the heavy metals were lower than their mean background values except for Al. The orders of dominance for concentration of heavy metals were: Al>Fe>Mn>Cu>Zn (Station 1) and Al>Fe>Mn>Zn>Cu (Stations 2, 3 and 4). Analyzed data showed that the sediments in the area are contaminated with Al with Igeo result showing station 2 and 4 been moderately to heavily contaminated with Al while station 4 was heavily contaminated with aluminium. Station 1 had low degree of contamination, whereas station 2 and 4 had moderate degree of contamination, and station 3 showed considerable degree of contamination. The PLI result indicates unpolluted condition and the area were not enriched by the studied heavy metals as shown by EF values. Hence, the sediment in Anantigha coastal marine area was classified as having low ecological risk factor. However, the levels of these metals are not static; there is tendency for increase as a result of increased human input and activities. Hence, there is a need for regular soil testing.
    Źródło:
    World Scientific News; 2019, 116; 1-24
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Characteristics and classification of soils derived from Awi sandstone formation in Awi, Akamkpa local government area of Cross River State, Nigeria
    Autorzy:
    Aki, E. E.
    Ediene, V. E.
    Powiązania:
    https://bibliotekanauki.pl/articles/1161576.pdf
    Data publikacji:
    2018
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Awi sandstone
    Nigeria
    soil morphology
    soil taxonomy
    toposequence
    Opis:
    Soils derived from Awi sandstone formation in Awi, Akamkpa LGA of Cross River State, Nigeria were studied along a toposequence with a view to classifying them taxonomically, assessing their potentials and suggesting appropriate management strategies. Three profiles were dug at the crest, middle slope and lower slope of the landscape. The morphological properties of these soils: colour, soil structure, soil consistence, drainage, boundaries and root inclusions were recorded in the field. These soils were deep (>100 cm), with sandy loam surface texture over sandy clay to sandy clay loam subsurface textures. These soils had hues of 10 YR - 5 YR with sub angular blocky structure and a sticky consistence (wet) and bulk density of 1.0 - 1.7 g/cm3 with total porosity of 22 - 38 %. Soil reactions in H2O were acidic (pH 4.7- 5.8). These soils have Organic Carbon of 14.4 - 38.1 g/kg; total nitrogen 1.2 - 3.3 g/kg; available phosphorus 4.1- 8.3 mg/kg; exchangeable acidity (H+) 0.5 - 11.9 cmol/kg; Cation Exchange Capacity (CEC) 2.0 - 6.0 cmol/kg and base saturation 20.0 - 52.5 %. The soils were classified according to the USDA Soil Taxonomy as Typic Kandiudults and correlated as Dystric Acrisols as per FAO- WRB for soil resources. It is recommended that soils fertility management practices should focus on reducing leaching of basic cations from the soils through mulching, planting of cover crops, crop rotation, adoptions of zero tillage as well as planting of acid tolerant crops and application of liming materials to reduce the strong acidity in these soils.
    Źródło:
    World Scientific News; 2018, 112; 142-152
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Detection of driver sleepiness and warning the driver in real-time using image processing and machine learning techniques
    Autorzy:
    Umut, I.
    Aki, O.
    Uçar, E.
    Öztürk, L.
    Powiązania:
    https://bibliotekanauki.pl/articles/102474.pdf
    Data publikacji:
    2017
    Wydawca:
    Stowarzyszenie Inżynierów i Techników Mechaników Polskich
    Tematy:
    driver
    sleepiness
    real time
    image processing
    machine learning
    Opis:
    The aim of this study is to design and implement a system that detect driver sleepiness and warn driver in real-time using image processing and machine learning techniques.Viola-Jones detector was used for segmenting face and eye images from the camera-acquired driver video. Left and right eye images were combined into a single image. Thus, an image was obtained in minimum dimensions containing both eyes. Features of these images were extracted by using Gabor filters. These features were used to classifying images for open and closed eyes. Five machine learning algorithms were evaluated with four volunteer’s eye image data set obtained from driving simulator. Nearest neighbor IBk algorithm has highest accuracy by 94.76% while J48 decision tree algorithm has fastest classification speed with 91.98% accuracy. J48 decision tree algorithm was recommended for real time running. PERCLOS the ratio of number of closed eyes in one minute period and CLOSDUR the duration of closed eyes were calculated. The driver is warned with the first level alarm when the PERCLOS value is 0.15 or above, and with second level alarm when it is 0.3 or above. In addition, when it is detected that the eyes remain closed for two seconds, the driver is also warned by the second level alarm regardless of the PERCLOS value. Designed and developed real-time application can able to detect driver sleepiness with 24 FPS image processing speed and 90% real time classification accuracy. Driver sleepiness were able to detect and driver was warned successfully in real time when sleepiness level of driver is achieved the defined threshold values.
    Źródło:
    Advances in Science and Technology. Research Journal; 2017, 11, 2; 95-102
    2299-8624
    Pojawia się w:
    Advances in Science and Technology. Research Journal
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
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