International Islamic University, Chittagong

About: International Islamic University, Chittagong is a education organization based out in Chittagong, Bangladesh. It is known for research contribution in the topics: Debye model & Density functional theory. The organization has 1111 authors who have published 1089 publications receiving 7918 citations. The organization is also known as: IIUC.

A Comparative Study on Fake Job Post Prediction Using Different Data mining Techniques

Abstract: In recent years, due to advancement in modern technology and social communication, advertising new job posts has become very common issue in the present world. So, fake job posting prediction task is going to be a great concern for all. Like many other classification tasks, fake job posing prediction leaves a lot of challenges to face. This paper proposed to use different data mining techniques and classification algorithm like KNN, decision tree, support vector machine, naive bayes classifier, random forest classifier, multilayer perceptron and deep neural network to predict a job post if it is real or fraudulent. We have experimented on Employment Scam Aegean Dataset (EMSCAD) containing 18000 samples. Deep neural network as a classifier, performs great for this classification task. We have used three dense layers for this deep neural network classifier. The trained classifier shows approximately 98% classification accuracy (DNN) to predict a fraudulent job post.

A Novel Byte-Substitution Architecture for the AES Cryptosystem.

Abstract: The performance of Advanced Encryption Standard (AES) mainly depends on speed, area and power. The S-box represents an important factor that affects the performance of AES on each of these factors. A number of techniques have been presented in the literature, which have attempted to improve the performance of the S-box byte-substitution. This paper proposes a new S-box architecture, defining it as ultra low power, robustly parallel and highly efficient in terms of area. The architecture is discussed for both CMOS and FPGA platforms, and the pipelined architecture of the proposed S-box is presented for further time savings and higher throughput along with higher hardware resources utilization. A performance analysis and comparison of the proposed architecture is also conducted with those achieved by the existing techniques. The results of the comparison verify the outperformance of the proposed architecture in terms of power, delay and size.

A very low power and high throughput AES processor

Abstract: In this paper we presents the design of a very low power and high throughput AES processor. A sophisticated AES algorithm without sacrificing its security features, throughput and area is used to design the processor. Due to the optimization of the algorithm and a number of design considerations, the processor shows its superiority over other AES processors. The proposed processor is simulated on the FPGA platform and Quartus II development software of Altera device of family Stratix II GX is used to simulate the design. A Power Play Early Power Estimation Tool is used to approximate the power consumption of the proposed processor. Later on the more reliable power analysis tool named Power Play Power Analyzer is used to estimate the static and dynamic power dissipation in the Processor. The high level of system integration along with very low power consumption and high throughput makes the AES processor an ideal choice for a range of application including small computing devices, smart card readers and network applications like WLAN, WPAN, WSN etc.

Cost reduction and productivity improvement through HRIS

Abstract: Employee productivity improvement and HR cost reduction are two useful options for a cost leader. This study aims to examine the association between human resource information systems (HRIS), employee productivity, and HR costs by focusing on the data of 40 Bangladeshi banks. The impact of one standard deviation variation of HRIS application on employee productivity and HR costs is then calculated using multiple regression analysis. The multivariate analysis of covariance (MANCOVA) is then tested to examine the variation of employee productivity and HR costs according to bank ownership patterns. Results indicate that the use of HRIS applications generated a higher efficiency in terms of employee productivity and the reduction of HR costs (where all things remain constant). It was also observed that employee productivity does not vary according to bank ownership patterns though stateowned banks and private-owned banks experience different HR costs.

Vitex peduncularis Boosted Anxiolytic, Antidepressant, and Antioxidant Properties in Albino Mice and In Silico Model

Abstract: The anxiolytic, antidepressant, and antioxidant activities of Vitex peduncularis leaf extracts in methanol (MEVP) were studied through the in vivo, in vitro, and in silico models The leaves were e