Theses, Dissertations & Reports

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    Design and Simulation of a Wearable Micro strip Patch Antenna for Healthcare Monitoring Applications
    (Department of Electronic and Telecommunication Engineering, IIUC, 19-10) Mamun, Sultan Shah; Majumder, Md.Qudrat-E-Alahi
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    DESIGN AND SIMULATION OF MICRO STRIP PATCH ANTENNAS FOR 5G WIRELESS COMMUNICATION
    (Department of Electronic and Telecommunication Engineering, IIUC, 19-10) Soliman, Md Mohiuddin; Hakim, Mohammad Lutful
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    Study and Analysis of the Radiation Effects of the Cellphone, BTS Tower and Local Wi-Fi Router on Human Body
    (Department of Electronic and Telecommunication Engineering, IIUC, 19-10) Islam, Syed Mainul; Bhattacharjee, Shashwata; Azim, Md. Anwarul
    We are regularly in contact with electromagnetic radiation in our daily life. From the radiation produced by mobile phone to that derived from X-ray check-ups, electromagnetic waves appear to be present in current standard of living. In the electromagnetic spectrum, higher frequency has taken great attention for wireless communication with better efficiency. But as much as we like the availability of higher data rate, it comes at a price of increased vulnerability of health hazards. A summary of all non-ionizing health effects has been compiled and an analytical discussion on it due to long term exposure to radiofrequency radiation. In this work an analysis of less hazardous manipulative safe distance between individuals and wireless devices such as- BTS antennas and WIFI routers based on calculating Specific Absorption Rate (SAR) on human body at different distances from BTS and WIFI routers is proposed. Finally, different safety distance for individuals for different WIFI router and different BTS antenna types are proposed in this research.
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    A Network infrastructure for Smart Home
    (Department of Electronic and Telecommunication Engineering, IIUC, 19-09) Mohiuddin, Talha Misbah; Riyad, Md. Kamrul Hassan
    Abstract There are uncertainties with regard to which network technologies will remain current and adaptable to emerging changes in Smart Home requirements. This research is based on using the existing and available network technologies for Smart Homes. In particular, it used CSMA network and Wifi Network based on IEEE 802.11ac standard. It is expected that a usual home has to upgrade the infrastructural network to fully upgrade into Smart home. So, the focus is to make a building design, based on Bangladesh’s prospective and use CSMA and WiFi network individually in simulation.
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    A High Gain And Wideband 2x2 Array Antenna Design of Microstrip Patch Antenna(MPA) for 5G Application
    (International Islamic University Chittagong, 19-10-12) Dini, Abshir Mohamud; Mohamed, Yusuf Mohamed
    Abstract Due to their low cost, low profile and ease of manufacturing in the circuit boards, microstrip antennas have become a part and parcel of today's wireless communication world. But poor performance, such as low capacity handling, narrow bandwidth, low gain, etc. In some cases, limit their application. Since high frequency bands will be used in the upcoming wireless communication of the 5th generation (5 G), it will be severely affected by path loss. High gain antenna is required to manage this problem. So the main concern of this research work is to design a high gain 2×2 microstrip patch antenna array. The simulation is performed by using the simulation software Computer Simulation Technology (CST) Microwave Studio which is a commercially available electromagnetic simulator based on finite difference time domain technique. The gain, bandwidth, return loss, VSWR and efficiency of the designed 2×2 array antenna is 23.8 dBi, 600MHz, 74.3dB, 1 and almost 99% respectively.
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    التخريج والبيان لما ورد من الأحاديث في "تفهيم القرآن للأستاذ أبي الأعلى المودودي
    (2005) حافظ, محمد غياث الدين
    إن كتاب تفهيم القرآن لمؤسس الجماعة الإسلامية الأستاذ أبي الأعلى المودودي من أوسع كتب التفسير انتشاراً في الأوساط العامة والخاصة للمسلمين الناطقين باللغة الأردية، ولا سيما المتأثرين بالدراسات الإنجليزية منهم. وتهدف هذه الدراسة إلى عرض بعض الجوانب المتعلقة بالأحاديث الواردة في هذا التفسير بصورة خاصة، وإبراز مكانة السنة المبيِّنة للقرآن عنده، والنظر في منهج مؤلفه بصورة عامة. استعان الأستاذ المودودي كثيراً بالأحاديث النبوية الشريفة في تفسير الآيات، و توضيح مبهماتها، أو الاستدلال بها في المسائل، ولكن ينقصه التخريج العلمي لتلك الأحاديث. وهذا ما تحاول هذه الرسالة معالجته، بغية تشجيع المسلمين على الإقبال على السنة تعلماً وفهماً. فخرَّج الباحث الأحاديث الواردة في تفسير المودودي، وعزاها إلى مصادرها الأصلية مع بيان درجتها من حيث الصحة والضعف والوضع مستفيداً من أقوال الأئمة المتقدمين في بيان درجاتها، على أن هناك أحاديث قليلة لم يتحدث عنها السلف، فقام الباحث بدراسة أسانيدها والوصول إلى درجاتها مع بيان العلاقة بين الآية والحديث على حسب رؤية المؤلف في تفسيره. واعتمد الباحث في عمله هذا على المناهج الآتية: وذلك هو المنهج الاستقرائي: لاستقراء وجمع الأحاديث الواردة في كتاب "تفهيم القرآن". وكذلك المنهج النقدي: لتحرير نتائجه حول درجات الأحاديث من حيث القبول والرد. والمنهج التحليلي: لبيان صلة الأحاديث بالآيات المتعلقة بها، وفي الخاتمة سجل الباحث نتائج بحثه.
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    Computer Vision Based Industrial and Forest Fire Detection Using Support Vector Machine (SVM)
    (IIUC Central Library) Rahman, Md Abdur; Hasan, Sayed Tanimun
    Burning issue is a very serious issue nowadays in our garments and industries sector. The workers are facing the problem and losing valuable life. On the other hand, investors are losing their hope in this sector. In this paper, we have propounded a vision-based system which is capable to detect fire. We have developed a pipeline model consisting of Background Subtraction, Color Segmentation, Special Wavelet Analysis & a Support Vector Machine which will detect real-time fire and smoke.For SVM model we have trained the dataset in two ways. One is the different kind of fire image and other is the image that looks like fire but it’s not fire. If the situation is breaking out of fire then the system will immediately raise an alarm and an automatic SMS and email will be sent to the authority and nearby fire station. In this study, the proposed strategy works on a very large dataset of fire videos that have been collected both in real life situations and from the internet.In this SVM pipeline model shows the maximum accuracy is is 93.33%. The system can fulfill the precision and detect faster real-time fire detection. Its industrial application will aid in the early detection of fires, as well as emergency management, and so greatly contribute to loss prevention.