Journal of Entrepreneurship & Management https://www.i-scholar.in/index.php/jem <div id="i-scholarabout">Journal of Entrepreneurship and Management (JEM) tends to create a platform for communication between academicians, policy makers, practitioners, researchers, entrepreneurs, small scale enterprises and persons concerned with the role of business with special focus to entrepreneurship research. Journal aims to promote a greater understanding, from an international perspective, of recent practices and research. JEM focuses on the international dimension of various segments of enterprises, business and industries all across.</div> Publishing India Group en-US Journal of Entrepreneurship & Management 2277-6850 Combined Effect of Mineral Admixtures in High-Performance Concrete https://www.i-scholar.in/index.php/jem/article/view/215821 High Performance Concrete (HPC) is a propelled sort of concrete that can increase the strength and versatility of concrete structures. For many years, High performance concrete (HPC) is the innovative type of concrete. It has been developed and used for many purpose in construction results in increased characteristics compared to conventional concrete. Fly ash, Silica fume, Quarry Dust has been popularly used in as mineral admixtures and along with that water also used as natural admixture in HPC to improve the mechanical properties. The utilization of nearby materials is a principal venture to spare materials and vitality and lessen the cost of concrete. The cement has been partially replaced with silica fume, combination of coconut shell and eggshell ash (with equal proportions). In order to found out the mechanical properties of High-Performance concrete, concrete specimens were casted and tested for 7, 28 days up to failure. In this investigation the mechanical properties of HPC are compared to Controlled Specimens. G. Balaji R. Vetturayasudharsanan R. Dineshkumar 2021-12-01 2021-12-01 7 Relationship between Concrete and Chloride Penetration https://www.i-scholar.in/index.php/jem/article/view/215825 Self-compacting solid offers a quick pace of solid situation, with quicker development times and simplicity of stream around blocked support. The ease and isolation opposition of SCC guarantees a significant degree of homogeneity, negligible solid voids and uniform solid strength, giving the possibility to a better degree of finish and solidness than the construction. The improved development practice and execution, joined with the wellbeing and security benefits, make SCC an exceptionally alluring answer for both precast concrete and structural designing development. Selfcompacting concrete (SCC) is a unique concrete that sets and compacts without the use of vibration. Except in the presence of clogged support, it will flow under its own weight, fully filling formwork and completing maximum compaction. The solidified concrete is dense, homogeneous, and has comparable design and strength properties to traditional concrete. R. Dineshkumar R. Vetturayasudharsanan G. Balaji 2021-12-01 2021-12-01 7 An Empirical Analysis of Different Machine Learning Algorithms for Predicting Lung Cancer https://www.i-scholar.in/index.php/jem/article/view/215830 In the current scenario, cancer disease is substantial menace to human life globally. About 32 percent of people worldwide are affected by various types of cancer. But lung cancer depicts the highest ratio. Nowadays peoples are not having awareness about to detect the cancer in early stage. The survival rate of five year for lung cancer disease is 55 percent of the cases are affected most. However, only 14 percent of lung tumor cases are diagnosed at an early stage. For slight tumors the five-year survival rate is simply 3 percent. There are 4 stages in lung cancer. If we predict the disease in I and II stage, it is easy to cure by effortless operations. If it exceeds second stage, it may not be cured. So, diagnosing the cancer in earlier stage is the best solution to predict the patients from death. For that, the system uses the Decision Tree and K-Nearest Neighbor (KNN) Algorithms as preferred classification model. By using these algorithms, it becomes easier to diagnose the cancer in early stage. So, the survival rate of lung cancer patients becomes higher. This comparative analysis, calculates and compares the precision of Random Forest, Naive Bayes and KNN and the preliminary result reveals that ID3 furnish better precision for cancer dataset. The input has been accessed only in numeric format. The algorithms also maintain key stuffs of the dataset, which are predominant for extracting performance, and so it may warrant the correct defense and effective preservation. This leads to protection of any extracting works that depends on the sequence of distances between objects, such as Random Forest, Naive Bayes -search and classification, as well as many visualization techniques. In particular, it establishes a restricted isometric property, in which it is the tight leap on the shrinkage and enlargement of the original distances. M. Sharmila R. Punithavathi 2021-12-01 2021-12-01 7 Detection of Astonishing Accidents in Tunnel using Deep Learning Algorithm https://www.i-scholar.in/index.php/jem/article/view/215832 Roads in tunnels vary in many ways from certain sections of open roads. For many drivers, the subway is an unusual driving area in a road network that can create even pressure. In conjunction with the Advanced Learning Network known as the Object Detection and Monitoring System, a quick and standard tracking system used for detecting automatically and unexpected incidents monitors on CV tunnels, Writing weight acquisition, (2) standings, (3) people outside the tunnel (4) fire. Odts accepts the video frames as input to obtain the location binding (BBox) result for object binding and compares BBoxes of current and previous video images to give each moving object a unique identification number. With this system, you can track a moving object over time, which is unfamiliar with the normal object detection settings. An indepth learning model was developed in the ODTS with a series of graphically designed (AP) data sets of 0.8479, 0.7161, and 0.9085 values for direct, automatic, human, and product items, respectively. Subsequently, based on the in-depth learning model developed, the ODTS video risk assessment system was evaluated using four risk video recordings for each risk. This allows the system to detect all crashes in 10 sec. The ODTS acquisition capabilities can be automatically upgraded without changes to program codes if the training database is improved. Vinotha R Elankeerthana R 2021-12-01 2021-12-01 7 A Prototype based Multibiometric Authentication System for Smart House Door System using Arduino https://www.i-scholar.in/index.php/jem/article/view/215836 In recent days, Biometrics becomes essential part of our life. Because it provides more security than other properties. People can apply biometric authentication in any field such as online exam, door access control, banking, identifying people, intelligent agent. The intelligent house becomes standard for the past few years. It will give a security and cozy to the house owner. However, the protection is incredibly necessary, it should be determining the house owner accurately and forestall the system to create an error for identification. Our proposed frameworks use finger print, facial recognition to make a system just like the security to create a identity and observation the protection of building. Balraj E Abirami T 2021-12-01 2021-12-01 7 Prioritizing the Marketing Start Ups using Classification Algorithm https://www.i-scholar.in/index.php/jem/article/view/215838 Surveying the improvements and working of the available products in the global markets and establishing the new products is a hard job for in the current technology improving world, instead lot more market survey concerns are there to perform this task and provide the exact report. In existing system, a typical CF- based recommender system associates a user with a group of like-minded users based on their individual preferences over all the items, either explicit or implicit, and then recommends to the user some unobserved items enjoyed by the group. In the proposed system a new website is created to gather the information about the new products. After gathering the comments using classification algorithm ratings will be provided as per the products list. Kanimozhi S 2021-12-01 2021-12-01 7 Real Time Air Quality Analyzing System https://www.i-scholar.in/index.php/jem/article/view/215840 The air quality is pre-dominate part of human health and its influence on life expectancy overall is very curial. In our project, we classify the quality of air through a series of sensors which are particular for analyzing the levels of harmless in the air. There is an algorithm which filters that classification as good, moderate and harmful. The occurrence of injurious gas decides the nature of the air and these classifications can be predicted occasionally by calculating the amount of SO<sub>2</sub> and NO<sub>2</sub> . These calculation and categorized data goes to the public knowledge where the accessibility of such details are effortless. Through the IOT device to identify the quality of air. The Programmable Interface Controllers is used to representative signals from sensors to LCD and IOT by converting than the monitoring can be useful for betterment of the environment. S. Kayathri S. Ramya 2021-12-01 2021-12-01 7