Smart Door Lock

Internet of Things (IoT) has become a phenomenon in many researchers. A smart digital automated system based on IoT plays major role which helps in reducing human work by applying interaction technology in daily life. This research introduces the IoT Smart Door Lock where smartphone uses Wireless Fidelity (Wi-Fi) to activate the door lock. By using Android software, the smartphone will automatically activate the door lock within a specific range. Data transmission will be done using Wi-Fi technology. So, the user does not have to worry whether the door has been locked or not because user can control it by using their smartphone within a specific range. The user also does not have to worry about losing the door key anymore because there is no device required except user’s smartphone. This project consists of hardware and software development. The main purpose on the design is to prevent the situation where the user is unable to unlock the door when the key is missing also to give a solution for users to monitor door status when they forget the door has been locked or not. This system aims to eliminate the use of keys to access the door, where the daily struggle faced to bring along a bunch of keys anywhere. Besides that, the door locking system must function efficiently. The prototype of this system is successfully done, the procedure and the software and hardware requirement has been compiled in this report.

An improved approach for testing gravitational redshift via spacecraft based three frequency links combination

<p>We propose a new approach for testing the gravitational redshift based on frequency signals transmission between a spacecraft and a ground station. By a combination of one uplink signal and two downlink signals, the gravitational redshift can be tested at about 6.5×10<sup>-6</sup> level for a GNSS satellite (the signals’ frequencies are about 1.2~1.6 GHz), and about 2.2×10<sup>-6</sup> level for the International Space Station (the signals’ frequencies are up to 14.7 GHz), under the assumption that the clock accuracy is about 10<sup>-17</sup> level. For better desinged cases the accuracy of gravitational redshift test can be improved to several parts in 10<sup>-8</sup> level (the signals’ frequencies are about 8~12 GHz). Compared to the scheme of Gravity Probe-A (GP-A) experiment conducted in1976, the new approach does not require any onboard signal transponders, and the frequency values of the three links can be quite arbitrarily given. As the hardware requirement is reduced, a number of spacecrafts could be chosen as candidates for a gravitational redshift experiment. This approach could also be used in gravitational potential determination, which has prospective applications in geodesy. This study is supported by National Natural Science Foundation of China (NSFC) (grant Nos. 42030105, 41721003, 41631072, 41874023, 41804012), Space Station Project (2020)228, and Natural Science Foundation of Hubei Province(grant No. 2019CFB611).</p>

Attendance Connect —A Complete Mobile Attendance Governing using Face Recognition

Attendance Connect aims in simplifying the task of registering attendance in the class by teachers, managing attendance records and letting students access those up-to-date attendance records anytime. These fundamental goals of simplifying workflow of teachers and students is made possible through the use of advanced technologies like state-of-the-art group based face recognition and attendance code right from the mobile device. Moreover, Attendance Connect also features additional functionalities like Schedules to make it easier for marking attendance of sessions, prior knowledge of sessions to attend or miss and Announcement Posts which lets teachers post announcements about changes in class schedules, homework or pretty much anything to stay in touch with the students. This is achieved with incredibly easy-to-use user interface developed for iOS devices using Swift and Objective-C with a modern backend of Firebase. In addition to that, the hardware requirement of Attendance connect is limited only to compatible mobile devices like smartphones or tablets. Meaning, it is easy to install, easy to start using and is significantly affordable.

New Algorithm for Dht and Its Verilog Implementation

This paper presents a new algorithm for computing Discrete Hartley Transform (DHT) (type-2) of N with N=4r , where r>1.Paper also suggest VLSI architecture for the implementation of the newly developed algorithm. The computation of DHT using this algorithm is simple and requires less arithmetic operations compared with the general method for finding DHT. Also the suggested VLSI structure for the algorithm is regular and less complicated in terms of hardware requirement. Parallel processing of the algorithm make the processing further fast.

RNS-to-Binary Converters for New Three-Moduli Sets {2k−3, 2k−2, 2k−1} and {2k+1, 2k+2, 2k+3}

In this paper, mixed radix conversion (MRC)-based residue number system (RNS)-to-binary converters for two new three-moduli sets {2[Formula: see text], 2[Formula: see text], 2[Formula: see text]} and {2[Formula: see text], 2[Formula: see text], 2[Formula: see text]} which are derived from the moduli set {2[Formula: see text], 2[Formula: see text], 2[Formula: see text]} are presented. These have the advantage of having one modulus of the form 2[Formula: see text] or 2[Formula: see text] simplifying computations in one residue channel. The proposed reverse converters are evaluated and compared with state-of-the-art reverse converters proposed in literature for other three-moduli sets regarding hardware requirement and conversion time.

8-Bit Quantizer for Chaotic Generator With Reduced Hardware Complexity

This article describes how nowadays, data is widely transmitted over the internet in the real time. Wherever the transmission or storage is required, security is needed. High speed processing hardware machine with reduced complexity are used for the security of the data, that are transmitted in real time. The information which is to be secure are encoded by pseudorandom key. Chaotic numbers are used in place of a pseudorandom key. The generated chaotic values are analogous in nature, these analog values are digitized to generate encryption key like 8-bit, 16-bit, 32-bit. To generate an 8-bit key, an 8-bit quantizer is required. The design of 8-bit quantizer requires 256 levels which needs lot of complex hardware to implement. In this article, an 8-bit quantizer is designed with reduced complexity, where hardware requirement is reduced by more than 12 times. Without compromising the randomness of the sequence generated. To increase the randomness and confusion timed hop random selection is used. The randomness of the sequence generated by the chaotic generators is analyzed by NIST test suite, to test for its randomness.

Big Data Scalability

Big Data is described by 5 V’s, Volume, Velocity, Value, Veracity and variety by Bernard Marr. As the data of high volume at uncertain speed in different variety is travelling the architecture designed for data flow it is essential to gather the information out of the data and which can help in creating effective models later. The process of turning big data to meaningful information model is scaling. In this paper we will study scalability in details and the hardware requirement to achieve scalability. The study also includes the issues of scalability.

An Improvement of Apriori Algorithm in Medical Data Mining

With the explosive growth of medical data, the new method of data mining is applied now. Data mining has provided knowledge, rules and decision for the whole medical database or the integration of medical information. This paper uses an improved Apriori algorithm to analyze the characteristics of medical data and find knowledge in medical data. This algorithm improves the efficiency and reduces the hardware requirement.