Syed Zulkarnain Syed Idrus
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Syed Zulkarnain Syed Idrus
Official Name
Syed Zulkarnain, Syed Idrus
Alternative Name
Syed Idrus, Syed Zulkarnain
Idrus, Syed Zulkarnain Syed
Idrus, S. Z.S.
Syed Idrus, S. Z.
Idrus, Syed Zulkarnain Bin Syed
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Scopus Author ID
57215416897

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  • Publication
    Mobile Application Outdoor Navigation Using Location-Based Augmented Reality (AR)
    ( 2020-06-17)
    Asraf S.M.H.
    ;
    Ameer Fuhaili Mohamad Hashim
    ;
    Syed Zulkarnain Syed Idrus
    In order to formalize and co-create the Industrial Revolution 4.0. Augmented Reality is indispensable to facilitate human life. As a result, the difficulty is experienced by the user to know the exact location. As such, these developed applications can greatly assist mobile application users in making it easier to decide where to use their smartphones in specific location. Using Augmented Reality GPS location-based is well suited to a phone's ability to have GPS sensors. Therefore, the place the user is searching or choosing is at the end of the user's finger and it is in the form of virtual environment real-time.
  • Publication
    Steganographic on Pixel Value Differencing in Iris Biometric
    ( 2020-06-17)
    Mansor N.K.
    ;
    Asraf S.M.H.
    ;
    Syed Zulkarnain Syed Idrus
    Biometric technology was widely used in more than decade ago and become convenient since human uses their own physical traits and behaviour rather than using keys and IDs to enter the systems. As the arising of biometric use, the issues of security in biometric data and the system points exist. The security and integrity of biometric data presents a major challenge as many benefits of biometric may quite easily become impediment. Every point of vulnerability in the biometrics system consist of specific defend techniques to prevent the misidentification of the real person. In biometric security system, techniques such as watermarking and steganography have been used in attempt to improve security of biometric data. Steganography has become one of the technique used in defending data and system in biometric security The techniques of steganography is divided into two embedding methods which are the least significant bits (LBS) and pixel value differencing (PVD). LBS is most popular techniques for data hiding field and data embedding since it embeds the fixed-length secret bits in the same fixed-length of pixel. While, PVD works better by providing a high quality stego image, besides the high capacity of concealed information. PVD provides high capacity and produces a stego image with good pixels value. PVD technique is also resistant to statistical attacks. It embeds the secret data in the difference as well as in the sum of the two contiguous pixels. In steganography technique, standard measurement to test the performance of stego image quality due to the hiding of message by using the Peak Signal-To-Noise Ratio (PSNR) and Mean Squared Error (MSE). The aim is to achieve higher value of PSNR that indicates a better reconstruction. The expected findings shows a better results of stego image quality based on PSNR and MSE. As a conclusion, the study of the project brings a good impact of higher security towards steganography field in biometrics applications.
  • Publication
    Implementation of Intrusion Detection System for Smart Home
    ( 2020-06-17)
    Mustafa P.F.
    ;
    Asraf S.M.H.
    ;
    Syed Zulkarnain Syed Idrus
    This paper introduces an implementation of intrusion detection system for smart home, which helps people to be aware of their home condition via notification from the proposed system. If someone tries to break into their homes, the system detects motion and capture picture of intruder. The objectives for this study are to implement a Smart Home Intrusion Detection System (IDS), to develop tool that can monitor and capture picture of intruder automatically and to reduce false alarm produced from the proposed system. The proposed system utilizes the Raspberry Pi technology, PIR Sensor and Raspberry Pi camera. The finding obtained from this study is that the false alarm is reduced and considered to be an effective system for Smart Home.
  • Publication
    Malware Behaviour Analysis and Classification via Windows DLL and System Call
    ( 2020-06-17)
    Rauf M.A.A.A.
    ;
    Asraf S.M.H.
    ;
    Syed Zulkarnain Syed Idrus
    Malware is refers to programs that purposely exploit computer systems' vulnerabilities for harmful purposes. It may be categorized by identifying whether it needs a host program to function and whether it makes copies of itself. Malware is an instance of malicious code with the purpose to disrupt the function of system and has potential to destruct a computer or network [1]. Nowadays, computer malware has become more sophisticated, using advanced code obfuscation technique to resist antivirus detection. Classification of malware samples plays an important part in building and maintaining security. The style of a malware classification system capable of supporting an oversized set of samples and adaptable to model changes at runtime is needed to spot the high range of malware variants. It is a supervised learning technique that created a proper model that may justify class and sort out information into correspondent options based. The advantage of classification is it acceptable of the many individuals since heap of researcher using classification. Next, classification method is quicker and it more accurate.
      16  1
  • Publication
    Computerized integer programming method: Menu scheduling for critical illness patients
    ( 2020-09-21)
    Ai Lee O.
    ;
    Firdaus Sufahani S.
    ;
    Helmy Abd Wahab M.
    ;
    Syed Zulkarnain Syed Idrus
    ;
    Surono S.
    ;
    An. Ahmad
    In this paper, critical illness patients are referred to breast cancer patients. This cancer is developed from the breast tissue. It is developed due to the erratic growth of cells of the breast tissue. In Malaysia, according to the statistics in 2017, one out of 20 individuals has the breast cancer in their life. In order to help the breast cancer patient in choosing the best food in their meal of a whole day, the way on how to use different mathematical programming methods to prepare a proper and healthy planning diet menu that fulfil all the nutrients constraints with the minimum cost for the breast cancer patient will be showed out. In the literature review, previous research for the menu planning, approaches used for the optimization are being reviewed in detail. In methodology, there are two mathematical programming methods that will be applied which are integer programming and binary integer programming methods. There are two sets of data which is 100 food items for small data model and 426 food items for big data model. At the end of this research, it should be able to provide a minimum cost one day menu and weekly menu for the breast cancer patients with the sufficient nutritional value.
      4  30
  • Publication
    Exploratory of Electrical Learning Kit for STEM Application
    ( 2020-09-21)
    Basar M.F.
    ;
    Zulkarnain I.A.
    ;
    Razik N.H.A.
    ;
    Zakaria Z.
    ;
    Wan Azani Wan Mustafa
    ;
    Syed Zulkarnain Syed Idrus
    ;
    Mohd Aminudin Jamlos
    Throughout the year, the implementation of the traditional approach (lecture-based) in the teaching and learning process seems to be less effective in increasing the interest among students towards the STEM subjects. Conversely, the use of practical learning method emphasizes on the psychomotor domain so that readers gain a clearer and more effective understanding. Thus, the aim of this paper is to investigate and exploratory the unique approach in implementation the learning kit where the students will increase their understanding towards the fundamental of electrical engineering. The effects that influenced the development process of learning kit is discussed and provided the ideas to build a quality learning kit for students who involved in STEM.
      6  13