19c96fd51791d8d23b91517 20210907022944626 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/ 09 30 2021 10 3 10.35940/ijrte.10.3 https://www.ijrte.org/download/volume-10-issue-3/ Department of Civil Engineering, Amrutvahini College of Engineering, Amrutnagar (422608) Sangamner, Savitribai Phule Pune University, Pune, India. S. B. Kandekar S. K. Wakchaure Department of Civil Engineering, Amrutvahini College of Engineering, Amrutnagar (422608) Sangamner, Savitribai Phule Pune University, Pune, India. Materials are the most important component of building construction. The demands of construction material are increasing day by day significantly. This demand is increasing the material prices and scarcity of material in construction industry. To achieve economical and eco-friendly criteria naturally occurring material is selected. Clay is a natural material and it can be available easily. This paper interprets the experimental investigation on strength of concrete using clay as a partial replacement to binder content (cement) in concrete. The replacement percentages are grouped as 0%, 10%, 20%, 30%, 40% of clay and 5% of hydrated lime with cement in each series in M25 grade of concrete. To achieve the pozzolanic property of clay hydrated lime was added. Different tests are performed to determine the optimum percentage of clay as a replacement for binder content (cement) in concrete. The Compressive strength test, split tensile strength test and flexural strength test were performed on the specimens. Total 90 cubes of size 150 mm were prepared for compressive strength test, 30 cylinders of 150 mm diameter and 300 mm height were prepared for split tensile strength test and 30 beams of size 150 mm x 150 mm x 1000 mm were prepared to carry out the flexural strength test. The results are compared to find the ideal proportion of clay as a replacement for cement. It is found that 10% replacement with 5% hydrated lime gives satisfactory results. 09 30 2021 1 6 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B6275.0910321 https://www.ijrte.org/wp-content/uploads/papers/v10i3/B62750710221.pdf Student, Department of Life Sciences, Delhi University, Kalindi College Delhi, India. Garima Bhardwaj Neelam Bhardwaj Asst. Professor, Department of Management, Dronacharya Group of Institutions, Greater Noida, India. The branch of science and machinery which is concerned with computational understanding of an intelligent human behaviour is called Artificial Intelligence. This blend of science and machinery has proven to be of great benefit to human activities and medical science. Our aim is to accentuate that can antimicrobial resistance be fought by Artificial Intelligence. The various studies indicate that Artificial Intelligence can be a solution to the issue of antimicrobial resistance which is rising at a great pace throughout the world. 09 30 2021 7 10 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B6292.0910321 https://www.ijrte.org/wp-content/uploads/papers/v10i3/B62920710221.pdf Assistant Professor, Department of Computer Application, Shri Ramswaroop Memorial Group of Professional Colleges Lucknow, India, Dr. Rajeev Tripathi The massive volume of data stored in computer files and databases is rapidly increasing. Users of these data, on the other hand, demand more complex information from databases. The video data have exponential growth towards accessing and storing. The vital problem associated to video data is efficient, qualitative and fast accessing. We talk about how video pictures are clustered. We presume video clips have been divided into shots, each of which is denoted by a collection of key frames. As a result, video clustering is limited to still key frame pictures. In amble database finding the qualified data set (clusters) is quite time-taking job. The video data mining relate to multi–lingual text, numeric, image, video, audio, graphical, temporal, relational and categorical data. It may be any kind of information medium that can be represented, processed, stored, fast accessing or summarization of clusters are required due to which significant frame-set is formed. Due to sampling error and test reliability in video, substantial changes of more than one frame are predicted. The goal of this article is to show how to employ a familiar and easy nonparametric statistical approach (chi-square) to select eligible data/framesets for analysis. The chi-square model illustrated here is a straightforward, sensible, fast, reduce saddle, and easiest method. Skimming/ Summarization and clipping technique are further enhanced by this technique along with video database maintenance technique from simple descriptors to a complex description schemes like spatial and temporal or high dimensional indexing. 09 30 2021 17 20 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C6365.0910321 https://www.ijrte.org/wp-content/uploads/papers/v10i3/C63650910321.pdf Research Scholar, ACE Engineering College, Department of Computer Science & Engineering, Hyderabad, India. Kethavath Prem Kumar Thirumalaisamy Ragunathan Ph.D, SRM University, Department of Computer Science & Engineering, Amaravathi, India. Devara Vasumathi Ph.D, Jawaharlal Nehru Technological University, Department of Computer Science & Engineering, Hyderabad, India. Cloud Computing is rapidly being utilized to operate informational technological services by outstanding technologies for a variety of benefits, including dynamically improved resources planning and a new service delivery method. The Cloud computing process is occurred by allowing the client devices for data access through the internet from a remote server, computers, and the databases. An internet connection is linked among the front end users such as client device, network, browser, and software application with the back end that constitutes of servers, computers, and database. For satisfying the demands of the Service Level Agreement (SLA), providers of cloud service should reduce the usage of energy. Capacity reservations oriented system is available by clouds’ providers to permit users for customizing Virtual Machines (VMs) having specified age and geographic resources, reduces the amount to be paid for cloud services. To overcome the aforementioned issue, an Improved Spider Monkey Optimization (ISMO) approach is proposed for cloud center optimization. The VM consolidation architecture based on the proposed ISMO algorithm decreases energy usage while attempting to prevent Service Level Agreement breaches. The accessibility of hosts or virtual machines (VMs) for task performance is measured by fitness. If the number of tasks to be handled increases the hosts of VMs available at right state. The proposed VM consolidation architecture decreases energy usage while also attempting to prevent Service Level Agreement breaches and also provide energy-efficient computing in data centers. The proposed approach may be utilized to provide energy-efficient computing in data centers. The energy efficiency of the proposed ISMO method is achieved 28266 whereas, the existing algorithm showed an energy efficiency of 6009 and 10001. 09 30 2021 21 26 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C6390.0910321 https://www.ijrte.org/wp-content/uploads/papers/v10i3/C63900910321.pdf Lecturer, Zimbabwe Open University Faculty of Applied Social Sciences & Faculty of Commerce and Law, Zimbabwe. Misheck Chingozha Kwashirai Zvokuomba Research Associate, Department of sociology, University of Johannesburg, Zimbabwe. Many institutions are facing or have faced challenges related to vandalism of equipment and property in Zimbabwe. This criminal phenomenon is not only restricted and peculiar to this country but is experienced in other regions of the world, however with variations. The purpose of the study is to explore and unpack the various dimensions of infrastructure vandalism by gazing at Zimbabwe Electricity Supply Authority (ZESA) a power utility in Zimbabwe. The level of vandalism has been increasing unabated resulting in in a multitude of undesirable effects on the power utility and the economy as a whole. A plethora of stimulants have been seen to be triggering and sustaining the theft and vandalism of the infrastructure which targets copper conductors, copper windings, oils and the poles in the majority of cases. The study adopted the mixed method approach due to its technical advantage of converging and merging qualitative and quantitative data in order to provide comprehensive results and produce new knowledge claims. This methodological framework was guided by the structural materialism theory which is an off shot of the critical criminology perspective. Thus, the study found out that infrastructure vandalism is representative of a broader dysfunctional socioeconomic system of a country riddled by poverty, unemployment and the absence of mores and values within communities. Consequently, the levels of infrastructure vandalism have spiraled to unprecedented levels. The study concludes that the government is failing to sufficiently address the macro-economic fundamentals as way of discouraging citizens from engaging in crime and criminality while the traditional leaders are not being respected yet they have a significant role they can play in promoting the stability and serenity of communities. In view of these conclusions the study recommends that all stakeholders contribute towards the protection of all infrastructure and migrate to digitalize the protection of such infrastructure as well as promulgation of appropriate pieces of legislation. 09 30 2021 10 16 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C6355.0910321 https://www.ijrte.org/wp-content/uploads/papers/v10i3/C63550910321.pdf