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Credit Card Forgery Identification By Location Using Android Based Monitoring

IOP Conference Series: Materials science and engineering 2020年第1期993卷

作者： V. M. Jemin P. Vasanthan Assistant Professor Department of Computer Science and Engineering RMK College of Engineering and Technology

In cellular network, the user's location is probably used as an authentication aspect similar to other elements like password, PIN range combined with the use of device that the person consisting of card or a mobile. An encrypted and decrypted key is generated using RSA. The generated values are send to user's cellular as SMS. The user's mobile region is identified by the place of use far flung customer authentication protocol and its integrity is proven by Galileo Navigation satellite known as Local element. We proposed an LRAP based method for secure transactions.

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A Review On Utilization Of Waste Glass In Construction Field

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IOP Conference Series: Materials science and engineering 2021年第1期1130卷

作者： R Gowtham S Manikanda Prabhu M Gowtham R Ramasubramani Student Department of Civil Engineering SRM Institute of Science and Technology Kattankulathur Kanchipuram Dt. Tamilnadu India. Assistant Professor Department of Civil Engineering SRM Institute of Science and Technology Kattankulathur Kanchipuram Dt. Tamilnadu India.

The concrete production has a huge demand in aggregate and clay (bricks) source. In the year 2015, 48.3 billion tonnes of aggregates are utilized as construction material globally per year in which 2.2 billion tonnes of aggregates were used in India. To overcome the demand of aggregate glass waste materials can be used as alternate construction material. In the year 2019, 21 billion tonnes of glass waste has been produced in India out of which only 45% is recycled, which shows that there is a need for proper procurement and management of waste glass. This review illustrate about utilization of waste glass in construction material such as blocks. The main aim of the study is to gain knowledge about the mechanical properties and physical properties of the blocks and other products produced with waste glass, to reduce the waste glass in landfill by producing sustainable construction material and to overcome the demand of aggregates and clay.

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Object and lane detection for autonomous vehicle using YOLO V3 algorithm

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AIP Conference Proceedings 2021年第1期2387卷

作者： Mohanapriya S. Natesan P. Indhumathi P. Mohanapriya S. T. P. Monisha R. 1Assistant Professor Department of Computer Science and Engineering Kongu Engineering College Perundurai Erode Tamil Nadu India 2Professor and Head Department of Computer Technology Kongu Engineering College Perundurai Erode Tamil Nadu India 3UG Scholar Department of Computer Science and Engineering Kongu Engineering College Perundurai Erode Tamil Nadu India

To detect the objects around an autonomous vehicle is very essential to operate safely. This paper presents to detect and classify the objects for assisting autonomous driving. In autonomous driving systems, the task of object detection itself is one of the most important prerequisites to autonomous navigation. Deep learning one of the computer vision tasks, perform object detection very effectively than compared to earlier methods and this project is to detect the objects like vehicles, persons, traffic lights, etc. In this work, an approach to object detection in deep learning that makes the bounding box for an image to predict is explored. Object detection is the method of detecting the objects present in a given image. Apart from detecting the number of objects present in an image it also specifies in which location that object is present in the image. The objects are detected by means of bounding boxes. In the existing system algorithm like Convolutional Neural Network (CNN) using Resnet-50 were used to detect the objects like vehicles, persons, traffic lights separately. The problem identified here is, in the existing system the camera is fixed in a particular place and it detects objects only if the objects come into the camera frames. It is not detecting both objects and lanes simultaneously when the autonomous vehicle is in motion at any location. To overcome these problems, in the proposed system object detection is performed by mounting camera in front of the moving vehicle. You Only Look Once (YOLO) V3 Algorithm is used for the process of object detection. Compared to earlier detection approaches YOLO V3 shows improvement in detection accuracy. It provides good feature extraction and detection in large-scale. The proposed YOLO al gorithm has better average precision value for detecting all objects than compared to existing CNN using Resnet-50. In addition YOLO V3 algorithm performs lane detection apart from object detection.

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Review for Detecting Smoke and Fire in Forest using Different Technologies

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IOP Conference Series: Materials science and engineering 2020年第1期993卷

作者： Dinesh Komarasamy M. Gokuldhev J Jenita Hermina M Gokulapriya M Manju Assistant Professor Department of Computer Science and Engineering Kongu Engineering College Perundurai Assistant Professor Department of Computer Science and Engineering AMRITA College of Engineering and Technology Nagercoil UG Scholar Department of Computer Science and Engineering Kongu Engineering College Perundurai

Nature has a huge role to maintain the stability in the environment. But, natural disasters damage the environment, affect the life cycle and decline the lifetime of living beings. Nature is destroyed by different disasters namely earthquake, fire, flood, landslide, air pollution and so on. Among these, forest fire is one of the foremost dangerous natural disasters which cause several serious issues like biodiversity loss, global warming, fuel wood loss and air pollution in the environment. Therefore, prediction of fire occurring in forest plays a crucial role to save lots of the environment. Thus, researchers focused on different technologies with different methodologies for predicting the fire that occurred in forest, as early as possible. Moreover, smoke is the focal point for fire, some of the researchers pay their attention on detecting the smoke of the forest using different technologies. Therefore, this paper gives a summary for effectively detecting the smoke and fire in forest.

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Modeling of an Adaptive Energy Based Route Broadcasting Algorithm (AERBA) Using Route Optimization in MANET

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IOP Conference Series: Materials science and engineering 2021年第1期1084卷

作者： S B Manoojkumaar C Poongodi Assistant Professor Department of Computer Science and Engineering J.K.K.Munirajah College of Technology T.N.Palayam Professor & Head Department of Electronics and Communication Engineering Bannari Amman Institute of Technology Sathyamangalam

Owed to the uncertain and dynamic behaviour of nodes over Mobile Ad-Hoc Networks (MANETs), the reliable route discovery and data delivery is considered as a challenging factor. With absence of centralized infra-structure and global broadcasting nature, nodes over the distributed environment rely over the neighborhood nodes. For reliable communication, the network needs to broadcast the routing direction to chose the appropriate neighborhood partner to make the functionality effectual during packet relying. Therefore, the evaluation process is determined to be a crucial factor. Various methodologies use the trust-based concepts for choosing the route broadcasting region and neighborhood nodes. However, those methods are identified with certain limitations and the evaluation is performed over single node. The inadequate consideration of these factors leads to the wider range of network model that leads to inappropriate broadcasting. This leads to packet loss, higher energy consumption due to re-transmission of packets. In this work, an Adaptive Energy-based Route Broadcasting Algorithm (AERBA) using Route Optimization (RO) is applied along with the route optimization approach to derive the global solutions. This leads to the trust establishment among the network nodes and pretends to fulfill the constraints related to broadcasting and energy consumption. The anticipated model facilitates appropriate evaluation over the potential nodes with multiple hops for balancing the route broadcasting and energy consumption. Simulation is carried out in MATLAB environment and the results demonstrate lesser energy consumption, higher delivery ration when compared with prevailing approaches.

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New Era of IoT Network Protection and PackagesThrough Prolonged Range

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IOP Conference Series: Materials science and engineering 2020年第3期981卷

作者： Nagendar Yamsani Yerrolla Chanti M Ranjith Kumar K Mannanuddin Hema Valpadasu Assistant professor Department of Computer Science and Engineering S R Engineering College Warangal India Assistant professor School of Computer Science & Artificial Intelligent SR University Warangal India Assistant professor Department of Computer Science and Engineering Sumathi Reddy Institute of Technology for Women Warangal India

In this research mission, we motive to construct a protracted-variety (ProlongedRange)-primarily based net of factors (IoT) comfortable localization device and appliance primarily based totally on multisensory synthesiscomputation. The Prolonged range generation is used to layout a community security device and right now deal with the computing device, wherein the purpose is to broaden a community server host that collects and approaches function signals from the multisensingsignal series and evaluation processing module and at once detects region by using community nodes thru the sensors cloud, excessive-degree improvement platform, and the multisensory fusion computing workstations, which send the consequences to the crucial monitoring gadget thru the Wi-Fi gadgets of the Prolonged range network. The relaxed localization computing chip very final outcomes, as advanced on this mission, can be used in the domain names of electricity control, environmental manipulate, facts management, manufacturing unit monitoring, and renewable strength manipulate. The device of this task comprises prolonged range hosts, which get hold of signs from numerous nodes and are linked to multisensory fusion arithmetic device via a Wi-Fi network. To sum up, in this look at, we emphasize the usage of multisensory fusion computing generation to implement a relaxed localization gadget of a wireless sensor network technology (WSN), and we remember the use of the embedded system and prolonged range era to broaden a monitoring machine for manufacturing facility fire manage anti-theft, energy, facts, and protection primarily based on cozy localization. In this study, we pass domain names and integrate associated engineering automation, community safety technology, multisensory synthesis computation design, and the (ProlongedRange) localization method, and the study'sfindings are anticipated to make a contribution to the network protection of the protection organization and studies at theLora IoT

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Detecting Sybil Attack In Wireless Sensor Networks Using Machine Learning Algorithms

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IOP Conference Series: Materials science and engineering 2021年第1期1042卷

作者： Mandala Mounica R. Vijayasaraswathi R. Vasavi M.Tech Student of Software Engineering Dept. of Computer Science & Engineering VNR Vignana Jyothi Institute of Engineering and Technology Hyderabad Telangana India Assistant Professor Dept. of Computer Science & Engineering VNR Vignana Jyothi Institute Of Engineering and Technology Hyderabad Telangana India

In sensitive areas such as battlefields, a Wireless Sensor Network (WSN) is especially in military and civilian applications and it is of utmost importance to develop security in these networks. In various respects, this can improve the quality of life. But to be used for protection reasons in multiple situations such as implementation. There is a high risk of being exposed to multiple viruses and hacking attacks. Unauthorized APs for information protection needs to be detected. Any malicious attacks against these networks, Like Sybil Attack leads to breach of security by enacting as a node that illegitimately declares several false identities at the same time. This misleads valid nodes, and they presume each of those identifiers as actual independent nodes by accident. Thus we proposed a machine learning model to detect Sybil attack in network where rawtraffic data has been collected and is used identify authorized and unauthorized APs in an integrated wired/wireless environment.

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Comparative Seismic Analysis of Conical and Pyramidal Frustum Shaped Commercial Building (G+6) at Janakpuri, Delhi

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IOP Conference Series: Materials science and engineering 2021年第1期1130卷

作者： Nachiar S Sindhu S Anandh Ajit Kumar Abhinav Puskar Fardeen Mohammed Assistant Professor Department of Civil Engineering SRM Institute of Science and Technology Kattankulathur Kanchipuram Dt. Tamilnadu India. UG Student Department of Civil Engineering SRM Institute of Science and Technology Kattankulathur Kanchipuram Dt. Tamilnadu India.

In the modern building construction, the trend of constructing structures that are economical as well as aesthetically appealing is increasing. These structures often employ ideas and architectural features that are diverse from the emblematic conventional structures. The unconventionally shaped building has irregularities in the distribution of mass, stiffness and strength along the height of the building. Conical and pyramidal frustum shaped building are those structures that have remarkable shape and utilizes both inclined and vertical columns. In these structures, the floor area of the plan changes at each specific storey. With the intensification in complexity and innovation of the building construction, earthquake forces have become an imperative factor to be considered while construction of these avantgarde structures. The Indian Standard code IS-1893: 2002 (Part-I) describes the approach for the structures with irregularities considering the varying mass, floor-area ratio and stiffness of the storeys. The objective of the paper is systematic seismic analysis of a conical and pyramidal frustum shaped commercial building(G+6) at Janakpuri, Delhi using STAAD. Pro V8i. The buildings are located in seismic zone IV. The result of the analysis aids to understand and compare the storey drift, storey displacement and stiffness of the structures subjected to earthquake forces.

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Application of certain Third-order Non-linear Neutral Difference Equations in Robotics engineering

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Journal of Physics: Conference Series 2021年第1期1831卷

作者： S Sindhuja J Daphy Louis Lovenia A P Lavanya D Darling Jemima G Jayabarathy Research Scholar Department of Mathematics Karunya Institute of Technology and Sciences Coimbatore India. Professor Department of Mathematics Karunya Institute of Technology and Sciences Coimbatore India. Assistant Professor Department of Mathematics Sri Krishna college of Engineering and Technology Coimbatore India. Assistant Professor Department of Computer Science and Engineering Sri Ramakrishna Engineering college Coimbatore.

We have obtained some results on oscillatory behavior of third order nonlinear neutral difference equations of the form where β and γ are odd integers with γ ≥ 1. Example is provided to illustrate the results.

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Experience of Truth-Telling From the Viewpoints of Family in the Intensive Care Units

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Hu li za zhi The journal of nursing 2020年第4期67卷 50-60页

作者： Kung, Chen-Ning Yeh, Chun-Yin Lai, Wei-Shu Chen, Chin-Ming Ko, Nai-Ying 1MSN RN Department of Nursing Chi Mei Medical Center Taiwan ROC PhD RN Postdoctoral Research Fellow Department of Computer Science and Information Engineering College of Electrical Engineering and Computer Science National Cheng Kung University Taiwan ROC PhD RN Assistant Professor Department of Nursing College of Medicine National Cheng Kung University Taiwan ROC MD Attending Physician and Professor Department of Intensive Care Medicine Chi Mei Medical Center ROC Taiwan PhD RN Distinguished Professor Department of Nursing College of Medicine National Cheng Kung University Taiwan ROC

TITLE: 從加護病房家屬觀點探究重症病情告知的經驗. 背景: 病情告知是減少醫病認知落差的重要步驟，且能減輕家屬心理壓力。現階段研究仍缺乏家屬對重症病情告知經驗及需求之探討。. 目的: 瞭解重症家屬病情告知經驗及過程需求。. 方... 详细信息

TITLE: 從加護病房家屬觀點探究重症病情告知的經驗. 背景: 病情告知是減少醫病認知落差的重要步驟，且能減輕家屬心理壓力。現階段研究仍缺乏家屬對重症病情告知經驗及需求之探討。. 目的: 瞭解重症家屬病情告知經驗及過程需求。. 方法: 採描述現象學，立意取樣5位加護病房疾病嚴重度≥ 20分的病人家屬進行深度訪談。以Giorgi現象學分析法，利用Nvivo 11分析歸納資料。. 結果: 整體經驗包含四大主題：（一）訊息聽了無法懂，希望疑問詳細解、（二）無助找尋為解答，期望護理來幫忙、（三）託付專業卻無奈，渴望醫療多些愛、（四）重重難關多牽絆，盼望見解來割斷。. 結論／實務應用: 病情告知著重傳遞結果，家屬無法理解病情變化原因。本研究建議醫療專業人員應體認家屬認知程度，並顧及其情緒反應，納入家屬需求及期待，以病人為中心提供個別化告知。.;BACKGROUND: Truth-telling is an important step toward reducing the cognitive gap between physicians and patients as well as reducing the psychological pressures applied to physicians by family members. There is a lack of research on the truth-telling experience and needs in the intensive care unit from the perspective of patient family members. PURPOSE: This study is designed to explore the experiences and needs of families in the intensive care unit. METHODS: A descriptive phenomenology method was used in this study. In-depth interviews were conducted with five participants who had family members assessed with acute physiology and chronic health evaluation II scores ≥ 20. Data were analyzed using Giorgi's phenomenological methods and Nvivo 11. RESULTS: Four experience themes were examined, including (1) nothing is clear, requires explanation;(2) helpless to find answers, need a nurse to resolve this issue;(3) professional conduct makes us feel helpless, longing for love from the medical team;(4) decisions are very difficult, hoping to get more help. CONCLUSIONS / IMPLICATIONS FOR PRACTICE: The family members expressed that they were unable to understand the underlying causes of the progression in patient condition because the medical team only presented outcomes to the family and did not discuss related causes. Thus, it is recommended that medical teams learn to recognize the cognitive processes of patient family members and consider their emotions, including their needs and expectations, in order to provide individualized explanations based on a patient's status and progress.

关键词： family needs intensive care unit phenomenology truth-telling

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