Philippine Statistician最新文献

{"title":"Modeling and Analysis of Low Velocity Effect (LVI) on Mixed Lamination Fibers","authors":"Dr. Priti Kumari, Dr. Anushruti, Dr. Apoorva Singh","doi":"10.17762/msea.v71i3s.28","DOIUrl":"https://doi.org/10.17762/msea.v71i3s.28","url":null,"abstract":"Composites experience corruption of primary solidness because of different kinds of effect stacking bringing about the harm which is challenging to see from the outer layer of the design. The paper manages the limited component model (FEM) to concentrate on the conceivable displaying methodology in low-speed influence (LVI) and disappointment system of carbon fiber built up polymer (CFRP) composite cover of CCF300/epoxy and its primary reactions. In limited component estimation, a proposed three-layered moderate harm model is utilized to decide the intralaminar harm, while the firm contact definition is utilized to break down the interlaminar harm. The disappointment model exhibitions are approved and checked given various limit conditions while keeping up with the effective energy. Through reenactment, the variety in limit conditions fundamentally changes the underlying reactions and energy retention of the covers. It is trusted this study will be an extraordinary device in deciding the different composite.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42988752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Research Paper on Lung Field Segmentation Techniques using Digital Image Processing","authors":"Gunjan Bhatnagar, Ashish Gupta, Yogesh Kumar","doi":"10.17762/msea.v71i3s.15","DOIUrl":"https://doi.org/10.17762/msea.v71i3s.15","url":null,"abstract":"In this review study, we investigate various strategies for lung field segmentation by utilizing digital image processing. In chest radiographs (CXRs), lung field dissection segmentation is and will continue to be a crucial phase in the process of automatically evaluating pictures of this kind. We describe a method for the segmentation of the lung field that is based on a boundary map of high quality that was detected using a structured edge detector, which is a contemporary border detector (SED). A SED has previously been trained to recognize lung limits by using manually delineated lung sections in CXRs as training data. Following this step, the masked and tagged boundary map is converted into the active contour map (ACM). In conclusion, the lung contours that are created by following filter phases that are based on Gaussian and dilate features are the contours that have the highest rate of trust in the ACM. Our method is evaluated using aberrant lung pictures obtained from chest x-rays, and it is demonstrated to be superior, in terms of the amount of processing time required, to segmentation utilizing a universal contour map.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42478444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Crypto Hash Signature Adopted Blockchain to Detect Spiteful Node to Enhance the Throughput in WSN","authors":"Ambika Bhuvaneswari C., E. D. Kanmani Ruby","doi":"10.17762/msea.v71i3s.9","DOIUrl":"https://doi.org/10.17762/msea.v71i3s.9","url":null,"abstract":"Secured routing is the definite maneuvers in a wireless sensor network (WSN) for distributing data packets to the base station. However, attacker node outbreaks will occur throughout the routing process, exacerbating the wireless sensor network's functioning. As a result, a secure routing protocol is essential to ensure route fortification and the effectiveness of wireless sensor networks. For this reason, many studies have shown an interest in improving routing protocol security by adopting cryptographic structures and trust regulation methods. However, most secured routing protocols are dynamically awful in real-time scenarios, making it difficult to distinguish between unsecured routing node performances. In the same way, solutions for detecting and mitigating node attacks are still challenging. In this, Crypto Hash signature (CHS) token are generated for the flow accesses with a secret key belonging to each routing sensor node. The assessment metrics corresponding to average energy consumption, and throughput of token transactions is measured. Then the simulation performance of the proposed SDOR-CHS-SD method provide 18.46%, 8.37% and 26.77% higher token transactions throughput, when compared with existing method like SDOR-SSOA, SDOR-DSM and SDOR-RIL respectively.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45773887","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design And Implementation of a Low-Cost Smart Surveillance Robot for Secured Monitoring System","authors":"Gayathri Devi Ramaraj, R Zahira, Kushal Kumar Sekhar, Sivaraman Ravichandran, Ajay Ponkumar Murugan","doi":"10.17762/msea.v71i3s.12","DOIUrl":"https://doi.org/10.17762/msea.v71i3s.12","url":null,"abstract":"Modern surveillance requires a lot of human effort. The international border monitoring also requires human involvement. By using automated robot, distant location monitoring can be easily achieved. An idea is proposed to design a robot for location tracking and for security purpose. It is primarily used for location where human surveillance is not possible. The robot is commanded to reach the destined location then using the wireless camera it transmits the scene. The robot comprises of three steps namely receiving the data, going to the location, and transmitting the surrounding data through the camera. The transmitter section consists of four buttons. When the first button is pressed, the DC motor attached with the robot runs and the robot reaches the destined location. The signal comes from the transmitter reaches the receiver section and the Arduino gives the command to rotate the DC motor. After reaching the location, it starts to transmit the surrounding scene through the wireless camera placed in the robot. Based on the input command the robot reaches the destined location. The wireless transmitting camera can be used for surveillance purpose. A firearm is attached to the robot. Whenever any intruder passes the restricted place, the firearm can be used to stun the intruder. An extra button is provided in the transmitter section for firing the weapon manually. An LCD display is used to see the current location of the robot. All these components are interfaced using Arduino board.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43801121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Deep Learning Approach for Detecting Diabetic Macular Edema through Analyzing Retinal Images","authors":"Dr. Nidhi Mishra, Dr. Apoorva Singh, Dr. Akanksha","doi":"10.17762/msea.v71i3s.21","DOIUrl":"https://doi.org/10.17762/msea.v71i3s.21","url":null,"abstract":"Clinical imaging developed quickly to assume an imperative part in the conclusion and treatment of an illness. Robotized examination of clinical picture examination has expanded successfully using profound learning procedures to get much speedier groupings once prepared and learn significant highlights for explicit assignments, demonstrated to be assessable in clinical practice and an important device to help dynamic in the clinical field. Inside Opthalmology, Optical Coherence Tomography (OCT) is a volumetric imaging methodology that purposes the conclusion, observing, and estimating reaction to treatment in the eyes. Early discovery of eyes sicknesses including Diabetic Macular Edema (DME) is crucial interaction to keep away from confusion like visual impairment. This work utilized a profound convolutional brain organization (CNN) based technique for the DME order tasks. To exhibit the effect of convolutional, five models with various Convolutional layers were assembled then the best one chose given assessment measurements. The exactness of the model improved while expanding the quantity of Convolutional Layers and accomplished 82% by 5-Convolutional Layer, Precision and Recall of the CNN model per DME class were 87%% and 74%, individually. These outcomes featured the capability of profound learning in helping dynamics in patients with DME.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45169686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling of Three-Phase Written-Pole Motor and Performance Predetermination using Numerical Methods","authors":"Manjunath B. Ranadev, V. R. Sheelavant, R. L. Chakrasali","doi":"10.17762/msea.v71i3s.3","DOIUrl":"https://doi.org/10.17762/msea.v71i3s.3","url":null,"abstract":"Modeling has attracted increasing attention from researchers. A physical system transformation to a mathematical base is important to analyse the behaviour of the system. The solution of various engineering problems depends on appropriate mathematical models. Differential equations are the basic tool for the mathematical modeling of electric machines. A model that describes the machine performance is used to analyse the dynamic behaviour of a 3-phase written-pole motor. \u0000Mathematical modeling of a 3-phase written-pole motor will help us to do the numerical analysis. It provides insight and useful guidance for originating the applications. A method for studying the behaviour of a 3-phase written-pole motor under steady state condition is described. The numerical tools such as Gauss-Seidel method and Successive Over-Relaxation method are used. This study forms the foundation for further research and development.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46455156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research Paper on Security Threats from Temperature Changes Occurrence by using Artificial Intelligence (AI) and Machine Learning (ML)","authors":"Ankit Mathani, Gunjan Bhatnagar, Ashish Gupta","doi":"10.17762/msea.v71i3s.16","DOIUrl":"https://doi.org/10.17762/msea.v71i3s.16","url":null,"abstract":"In the past, climate change has been a significant problem all over the world; nonetheless, it has been challenging to mobilize collective action in response to the problem. In spite of the knowledge that climate change is a threat to our species as well as the life that already exists on our planet, this continues to be the case. The researchers who have looked into this phenomenon have come to the conclusion that effective communication regarding climate change is predicated on messages that are both emotionally charged and personally meaningful, and that pictures, in particular, are essential in order to generate awareness and concern about the subject. In spite of the widespread belief that this is the case, the majority of the conventional modes of communication that professionals employ when interacting with members of the general public are frequently founded on discoveries made in the scientific community. These studies, on the other hand, typically fail to convey either the urgency or the relevance of this huge occurrence. Utilizing Artificial Intelligence (AI) and Machine Learning Is the Purpose of Our Report So That We Can Help Bridge This Gap And Build A Tool To Promote Awareness About The Effects Of Climate Change The purpose of our report is to use AI and ML so that we can help bridge this gap and build a tool to promote (ML).","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41257150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Autonomous Navigation System Using the Passing Motion Planner Approach","authors":"Mrs. Smita Premanand, Mr. Kapil Kelkar, Mr. Sourabh Kumar Shrivastav","doi":"10.17762/msea.v71i3s.22","DOIUrl":"https://doi.org/10.17762/msea.v71i3s.22","url":null,"abstract":"This study proposes a genuine robot accommodating passing movement organizer to be utilized in swarms. The proposed technique figures out how to pass people on foot with smooth speed increase and deceleration by utilizing passing movement learning. A critical element of the proposed strategy is that it is prepared on a basic group reenactment with both dynamic and fixed people on foot. The mastered passing way of behaving can be utilized straightforwardly in an independent route. Assessments utilizing the group recreations demonstrate that the proposed technique beats the current ones as far as progress rate, appearance time, and staying away from the walkers. The proposed route structure is carried out on a versatile robot and exhibited its effective route between walkers in a science gallery.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47860422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of Hierarchical Temporal Memory to Assess Reactive and Proactive Dissonance for Anomaly Signal Management","authors":"Dr. Nidhi Mishra, Dr. F Rahman, Mr. Om Hari Naryan Kushwaha","doi":"10.17762/msea.v71i3s.17","DOIUrl":"https://doi.org/10.17762/msea.v71i3s.17","url":null,"abstract":"A compelling group the board framework offers prompt receptive or proactive treatment of possible problem areas, including packed circumstances and dubious developments, which relieve or evades serious episodes and fatalities. The group the board space creates spatial and transient goal that requests different modern components to quantify, concentrates, and interact with the information to deliver a significant reflection. Swarm the board incorporates demonstrating the developments of a group to project compelling systems that help fast emersion from a risky and deadly circumstance. Web of Things (IoT) advancements, AI procedures, and specialized techniques can be utilized to detect the group trademark/thickness and proposition early recognition of such occasions or far superior expectation of likely mishaps to illuminate the administration specialists. Different AI strategies have been applied for swarm the board; in any case, the quick progression in profound various leveled models that gains from a nonstop stream of information has not been completely explored in this specific situation. For instance, Hierarchical Temporal Memory (HTM) has shown strong capacities for application areas that require internet learning and demonstrating transient data. This paper proposes another HTM-based structure for peculiarity identification in a group the board framework. The proposed system offers two capabilities: (1) responsive discovery of group oddities and (2) proactive location of peculiarities by foreseeing expected irregularities before occurring. The exact assessment demonstrates that HTM accomplished 94.22%, which outflanks k-Nearest Neighbor Global Anomaly Score (kNN-GAS) by 18.12%, Independent Component Analysis-Local Outlier Probability (ICA-LoOP) by 18.17%, and Singular Value Decomposition Influence Outlier (SVD-IO) by 18.12%, in swarm different irregularity location. Besides, it shows the capacity of the proposed alarming system in anticipating potential group irregularities. For this reason, a mimicked swarm dataset was made utilizing the MassMotion swarm recreation device.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45748795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structural Analysis of Environmental Approaches towards Creating Optimizations of Organic Media for Calluses and Cell Suspensions","authors":"Dr. Apoorva Singh, Dr. Vinod Kumar Yadav, Dr. Pradeep Kumar Kesharwani","doi":"10.17762/msea.v71i3s.26","DOIUrl":"https://doi.org/10.17762/msea.v71i3s.26","url":null,"abstract":"Convention for callus enlistment utilizing the leaf explant of Rauvolfia serpentine was normalized utilizing planned natural vermicompost separate and coelomic liquid (removed from the night crawlers Eudriluseugeniae) of different mixes utilized, 30% vermicompost + 4% coelomic liquid was viewed as the best for callus acceptance. Bountiful, sparkly white callus was seen following fourteen days; further smooth white separable callus came about after the 6th seven-day stretch of culture. This on examination with Murashige and Skoog medium enhanced with various blends of BAP (1 mg L-1) + IBA (0.125 mg L-1) and BAP (1.0 mg L-1) + 2, 4-D (0.125 mg L-1) was made individually. Of the various proportions attempted, a 3:1 proportion of vermicompost extricate: coelomic liquid was viewed as best for starting cell suspension societies. Phytochemical examination detailed 34.83±0.14 mg/g of absolute phenols and 0.063±0.002 mg/g of all out flavonoids from the extricated calli and cell suspension tests. Reserpine is recognized as the significant alkaloid in the callus too in cell suspension culture (15.151 maintenance times in HPLC examination). These phytochemicals delivered by in vitro societies can be essentially utilized for drug reasons. The present review showed huge callus advancement on natural vermicompostextricate (30%) media and its monetary worth.","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41801273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}