The presence of heavy metals in the environment results in a number of environmental problems. In this study, the potential of Rambai stem (Baccaurea motleyana) of Malaysia in removing nickel ion from aqueous solution has been evaluated. The raw material used in this study was obtained from local orchard. The collected material passed through physical preparation and treatment process. The adsorbent was thoroughly characterized by SEM, EDX and FTIR studies. The effect of initial nickel concentration, dosage of adsorbent and pH on the adsorption process were investigated. The highest adsorption capacity obtained at weak acidic conditions (pH 4-5) when dosage and initial concentrations are 0.1 and 30 ppm respectively. The percentage of removal of nickel from the solution was found to be 51%. The experimental data fitted well in Freundlich isotherms indicating the adsorption of nickel on Rambai stem (Baccaurea motleyana) followed heterogenous surface phenomena.
Data compression and encryption are key components of commonly deployed platforms such as Hadoop. Numerous data compression and encryption tools are presently available on such platforms and the tools are characteristically applied in sequence, i.e., compression followed by encryption or encryption followed by compression. This paper focuses on the open-source Hadoop framework and proposes a data storage method that efficiently couples data compression with encryption. A simultaneous compression and encryption scheme is introduced that addresses an important implementation issue of source coding based on Tent Map and Piece-wise Linear Chaotic Map (PWLM), which is the infinite precision of real numbers that result from their long products. The approach proposed here solves the implementation issue by removing fractional components that are generated by the long products of real numbers. Moreover, it incorporates a stealth key that performs a cyclic shift in PWLM without compromising compression capabilities. In addition, the proposed approach implements a masking pseudorandom keystream that enhances encryption quality. The proposed algorithm demonstrated a congruent fit within the Hadoop framework, providing robust encryption security and compression.