Volume-4 Issue-1, February 2016 – International Journal of Inventive Engineering and Sciences (IJIES)

A0693024116

IJIES Journal — Sat, 28 Aug 2021 10:14:37 +0000

Semi-Blind Gray Scale Image Watermarking Algorithm based on hybrid SVD-DWT using HVS Model
D.Y. Thorat¹, Shiv K Sahu², Amit Mishra³
¹D.Y.Thorat, M.Tech. Scholar, Department of Information Technology, Technocrats Institute of Technology, Bhopal (M.P). India.
²Dr. Shiv K Sahu, Assoc. Prof. & Head, Department of Information Technology, Technocrats Institute of Technology, Bhopal (M.P). India.
³Amit Mishra, Asst. Prof. Department of Information Technology, Technocrats Institute of Technology, Bhopal (M.P). India
Manuscript received on May 05, 2016. | Revised Manuscript received on May 20, 2016. | Manuscript published on February 20, 2016. | PP: 22-24 | Volume-4 Issue-1, February 2016. | Retrieval Number: A0693024116/2016©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: To achieve good imperceptibility and robustness, a hybrid image watermarking algorithm based on discrete wavelet transform (DWT) and singular value decomposition (SVD) is proposed using the characteristics of human visual system model for copyright protection and authenticity. In the proposed watermarking algorithm, one level DWT is applied to selected image blocks to obtain four sub-bands of each block and then the S component of low frequency sub-band (LL) obtained after SVD transformation is explored under different threshold values for embedding and extracting the watermark. The experimental results show that HVS model based hybrid image watermarking scheme is imperceptible and robust against several image processing operations like JPEG compression, median filtering, sharpening, cropping and addition of Gaussian noise. Peak signal to noise ratio (PSNR) and bit correction rate (BCR) are used to measure the quality of watermarked image and extracted watermark respectively.
Keywords: Singular value decomposition, Discrete wavelet transform, Image watermarking, Copyright, Human Visual Model

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A0696024116

IJIES Journal — Sat, 28 Aug 2021 09:51:22 +0000

Standardisation in Software Defined Radio
Amit Kumar
Mr. Amit Kumar, Department of Electronics and Communication, CBS Group of Institutions Affiliated to Maharshi Dayanand University, Rohtak (Haryana). India.
Manuscript received on May 08, 2016. | Revised Manuscript received on May 18, 2016. | Manuscript published on February 20, 2016. | PP: 18-21 | Volume-4 Issue-1, February 2016. | Retrieval Number: A0696024116/2016©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Software Radio as a radio and communication technology has evolved with the evolution of digital electronics. It has undergone many changes in terms of technology and uses. With the advent and deployment of software defined radio (SDR) the radio is no longer the physical manufacturing of a single waveform but a computer host onto which different waveforms can be loaded. This paper provides an insight into the efforts to standardise the configuration and operation of software defined radio. The software communication architecture has been developed to assist in the development of SDR communication systems and captures the benefits of most recent technology advances to greatly enhance the interoperability of communication systems and reduce development and deployment costs.
Keywords: Software Radio, Software Defined Radio, SCA, STRS, CORBA, ASI, POSIX, RTOS,

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A0692024116

IJIES Journal — Sat, 28 Aug 2021 09:44:54 +0000

A Survey on Students’ Attendance Management System
Pramod Bide¹, Harshal Bendale², Mohammed Murtuza Bhaiji³, Siddhant Das⁴
¹Pramod Bide, Department of Computer Engineering, Ramrao Adik Institute of Technology, Navi Mumbai (Maharashtra). India.
²Harshal Bendale, Department of Computer Engineering, Ramrao Adik Institute of Technology, Navi Mumbai (Maharashtra). India.
³Mohammed Murtuza Bhaiji, Department of Computer Engineering, Ramrao Adik Institute of Technology, Navi Mumbai (Maharashtra). India.
⁴Siddhant Das, Department of Computer Engineering, Ramrao Adik Institute of Technology, Navi Mumbai (Maharashtra). India.
Manuscript received on May 05, 2016. | Revised Manuscript received on May 09, 2016. | Manuscript published on February 20, 2016. | PP: 15-17 | Volume-4 Issue-1, February 2016. | Retrieval Number: A0692024116/2016©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Managing the attendance in various universities or any other educational institutions has been facing problems or some sort of shortcomings. The complexity and need of new improved methods for managing attendance needs to be understood for developing a near perfect management system for attendance. This paper mainly focuses on study of different approaches and techniques made to establish the system for recording and managing the attendance. Some suggested/implemented techniques use different set of hardware to perform and input the students’ biometric verification and other technologies (for instance RFID) in to the system. The outcome of this paper is; it provides a study on the techniques to transform the students’ data into a format suitable to carry out selection of information for desired result done or suggested by others.
Keywords: Student Attendance, RFID, Biometric verification, Attendance management System.

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A0682024116

IJIES Journal — Sat, 28 Aug 2021 09:22:18 +0000

Vector Multiplication Approach for Point of View Variations in a Mimicking Robotic Shoulder using Microsoft Kinect
Rollie Jay R. Ortega¹, Norm Allen T. Siron², Kevin T. Mapalad³, Heidrick S. Emano⁴, Roselito E. Tolentino⁵
¹Rollie Jay R. Ortega, Are Graduates of Polytechnic University of the Philippines Santa Rosa Campus, City of Santa Rosa Laguna, Philippines.
²Norm Allen T. Siron, Are Graduates of Polytechnic University of the Philippines Santa Rosa Campus, City of Santa Rosa Laguna, Philippines.
³Kevin T. Mapalad, Are Graduates of Polytechnic University of the Philippines Santa Rosa Campus, City of Santa Rosa Laguna, Philippines.
⁴Heidrick S. Emano is Currently Studying in Polytechnic University of the Philippines Santa Rosa Campus, City of Santa Rosa Laguna, Philippines.
⁵Roselito E. Tolentino is with Polytechnic University of the Philippines – Santa Rosa Campus and De La Salle University – Dasmarinas as part time Instructor.
Manuscript received on March 08, 2016. | Revised Manuscript received on March 12, 2016. | Manuscript published on February 20, 2016. | PP: 09-14 | Volume-4 Issue-1, February 2016. | Retrieval Number: A0682024116/2016©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This study aimed to manipulate a robotic shoulder even while the user is varying its point of view by applying a vector multiplication and controlling it using a camera with depth sensor. The system acquired the motion of the user’s arm using Kinect sensor. The position of the user’s joints was obtained using the Kinect Skeletal Tracking of Kinect SDK. Through the use of Visual Studio, we used C# and create a program to acquire the values of the skeletal coordinates and that was used to calculate the vectors using Cross Product and then the angles using Dot Product of the Vector Multiplication. The angles obtained were sent to the microcontroller through serial communication and then converted to signals for the movement of servo motors of the robotic shoulder. The rotation of the servo motors was according to the angles given as input. The researchers concluded that the system is effective in acquiring the user’s shoulder angle for the mimicking of robotic shoulder for different point of views. Likewise, the researchers considered that the user’s actual shoulder angle is close to the robotic shoulder prototype angle.
Keywords: Kinect, mimicking, robotic shoulder, vector multiplication.

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A0680024116

IJIES Journal — Fri, 27 Aug 2021 08:44:33 +0000

Assessment of Air Pollution with Benzene and Benzo [A] Pyrene in Regions in North-East Bulgaria
Rozalina Chuturkova
Rozalina Chuturkova, Assoc. Prof., Department of Ecology and Environmental Protection, Technical University, Varna, Bulgaria.
Manuscript received on February 02, 2016. | Revised Manuscript received on February 03, 2016. | Manuscript published on February 20, 2016. | PP: 1-8 | Volume-4 Issue-1, February 2016. | Retrieval Number: A0680024116/2016©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: An assessment is made of air pollution with benzene and benzo[a]pyrene (ВаР) for the period 2007-2014 in three regions of North-East Bulgaria, where automated measurement stations for monitoring air quality are located. An urban station and a traffic oriented station in the city of Varna, as well as an industrially oriented station in the town of Devnya have been included. The seasonal, annual and diurnal variations of the benzene and ВаР concentrations in air are studied. The results from the monitoring are processed applying Student-Fisher’s t-distribution criterion. The results reveal a descending trend in air pollution with benzene at the urban background station in the city of Varna and the industrially oriented station in the town of Devnya during the period of monitoring, with high statistical significance of the decrease (0,001 ≤ Р ≤ 0.05). The average annual concentrations of benzene do not exceed the human health safety norm (5µg/m3 ). At the traffic oriented station in the city of Varna the average annual concentrations of benzene and ВаР vary, without delineating a specific trend. There are certain seasonal variations in benzene and ВаР pollution – higher concentrations during the cold months of the year. The seasonal dynamics are supported by the diurnal variations of the pollutants. Measures are proposed for the reduction of carcinogenic pollutant emissions and a decrease in human exposure to them.
Keywords: Benzene, ВаР, air, pollution, seasonal variations

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