-5171ffc0182b6af927f-7835 20220826235211384 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 07 30 2019 8 2 School of Dental Sciences, Health Campus, Universiti Sains Malaysia (USM), 16150 Kubang Kerian, Kelantan, Malaysia. Wan Muhamad Amir W. Ahmad Nurhayu Abdul Rahman School of Dental Sciences, Health Campus, Universiti Sains Malaysia (USM), 16150 Kubang Kerian, Kelantan, Malaysia. Nor Azlida Aleng School of Informatics and Applied Mathematics, Universiti Malaysia Terengganu, 21030, Kuala Terenggnau, Malaysia. Nurfadhlina Abdul Halim Faculty Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia. Mohamad Arif Awang Nawi School of Dental Sciences, Health Campus, Universiti Sains Malaysia (USM), 16150 Kubang Kerian, Kelantan, Malaysia. Oral cancer is an important global health concern, representing the sixth most frequent malignant tumor. The oral squamous cell carcinoma (OSCC) is the most common malignant neoplasm of the oral cavity with up to 50% of mortality rate (highest prevalence being identified in Asia). In 2012, it has been reported that 14.1 million new cancer cases and 8.2 million cancer deaths. Numbers of studies have been performed to investigate the factors that have direct and indirect or both associated with the OSCC, including their survival time. In this paper, the potential clinicopathological prognostic factors will be determined in patients who attended Hospital Universiti Sains Malaysia from 2005 to 2015. For such prediction, the use of hazard regression is used previously, but here an attempt is made to propose a covariate-dependent prognostic model to identify the factors and the predictor importance according to the statistical significant point of view. The proposed model is very useful for the prediction and for the inferences of the patient’s management time with the high-risk clinicopathological factors. 07 30 2019 1 5 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1000.078219 https://www.ijrte.org/portfolio-item/A1000058119/ Part-time Research Scholar, School of Management Studies, Bharathiar University, Coimbatore G.S. Raju This paper attempts to distinguish the deceptive practice completed by the Nissan. It additionally endeavors to analyze the effect of these exploitative practices on their individual worker execution, their representative relations, organization validity, and on the general public. Exercises can be gained from these encounters and preventive measures can be connected crosswise over global fringes to improve business lead in other creating economies. The present research paper is conceptualized and depends on contextual investigation examination so as to discover the effect of Nissan's deceptive practices on the partners. It was discovered that because of Nissan's obliviousness of security individuals lost the trust in Nissan vehicles and decided on different autos. Consequently the brand notoriety of Nissan's was smashed. 07 30 2019 1846 1848 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1015.078219 https://www.ijrte.org/portfolio-item/A1015058119/ Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu. Pooja Anand Vinitha Lea Philip Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu. P. Eswaran Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Chennai, Tamil Nadu. In this work, we fetch the current trends in industrial automation and data exchange technology adopted in Computer Numerical Control (CNC) machine and mitigate the features in in a cost-effective manner. The current trend is Industry 4.0, uses cloud-based systems for information and data exchanges in machine to machine communication. This methodology is reliable, but expensive and can be afforded only by large scale companies. In order to provide the data transparencies at low cost, we utilize a low-cost computing system using Python language for small scale industry. This technique was implemented in the existing CNC machine and the machine parameters such as Machine Operating Mode, Cycle Time, Part Count, Feed rate, Spindle Running Hours, Machine Running Hours, and Machine Utilization Hours are monitored. Graphical user interface (GUI) screens are developed to help human machine interface. Acquired real-time machine data will help boost transparency and help the operator/ user for smart decision making. The IIoT (Industrial Internet of Things) technology helps to connect more numbers of such machines, results in increased machine utilization and productivity through continuously monitoring and analyzes. 07 30 2019 6 13 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1030.078219 https://www.ijrte.org/portfolio-item/A1030058119/ Department of Electronics and Communication Engineering, A.J Institute of Engineering and Technology,Kottara, Mangalore, Karnataka India. Kiran Kumar V G Shantharama Rai C, Principal, AJ Institute of Engineering, Kottara, Mangalore, India. In the Design of arithmetic circuits reducing area, high speed and power are the major areas in VLSI system design. In this paper parallel prefix adders like Kogge-stone adder, Breunt-Kung adder, Ladner-Fischer adder is designed .Radix-4 Booth multiplier is designed by using Kogge-Stone adder. 16 bit Vedic multiplier is done by using Urdhwa Triyambaka sutra .8bit Vedic division is implemented by using Crumbs method so as to reduce the area, LUT tables and increase the speed as well as to reduce the Power dissipiation. The design is synthesized using Xilinx ISE 14.1 design suite. 07 30 2019 807 813 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1064.078219 https://www.ijrte.org/portfolio-item/A1064058119/ School of Electronics Engineering, VIT University, Chennai, Tamilnadu, India. Vijaya kumar P Ganesan V ETCE Dept., Sathyabama University, Chennai, Tamilnadu, India. Pratik Patwari School of Electronics Engineering, VIT University, Chennai, Tamilnadu, India. Rajnandini Singh School of Electronics Engineering, VIT University, Chennai, Tamilnadu, India. Sharmila A ECE Dept., Krishna Engineering College, Ghaziabad, Delhi, India Payal P. Tayade, School of Electronics Engineering, VIT Chennai, Tamilnadu, India R. Rajashree Former Assistant professor, GKM College of Engineering & Technology, Chennai, Tamilnadu, India. M Tamilselvi Mechatronics Department, T.S. Srinivasan Centre of Polytechnic and Advanced Training, Chennai, India. In today’s fast paced world, monitoring systems are necessary to track the changes in the environment for better understanding of current scenarios and predictions thereof. The same is true for fuel tanks in vehicles as well. By keeping strict track of fuel intake and consumption, vehicles can be made more fuel and cost efficient. This can be done using remote monitoring and data collection systems deployed at the site of the fuel storage tank. This proposed monitoring device is built on Atmega16 computer that takes fuel tank level information from its sensors and analyses this data at the sensor edge to find patterns using edge analytics technology. These patterns and data are streamed to the internet, either an android app or a website. This paper presents the implementation of such a monitoring system based on Internet of Things (IoT) technology to protect the fuel customers from theft at the gas stations and formulate better conservation strategies. 07 30 2019 14 20 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1146.078219 https://www.ijrte.org/portfolio-item/A1146058119/