bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human Error Assessment of Situation Awareness in Bridge Operations: A Case Study of Indonesian Maritime Accidents
Authors: Bowo L. P. , Prilana R. E. , Furusho M. 
Published: February 2021

Abstract
In the maritime industry, the role of human on-board operations is frequently cited in accidents report due to its relation to human error. Furthermore, according to the European Maritime Safety Agency, human error in bridge operations in the 2018 maritime accident cases due to lack of situational awareness has affected 65%. This study aims to assess the Indonesian maritime accidents concerning situational awareness in bridge operation in the collision, grounding, and sinking accidents by applying the new propose HRA method, Maritime Accidents Analysis and Reduction Technique (MAART). Finally, the forty-seven maritime accident data derived from the National Transportation and Safety Committee of Indonesia from 2008 to 2018 are assessed. In conclusion, Indonesian seafarers’ situational awareness has to be given more concern because most of the analyzed accidents’ causal factors show a lack of continuous monitoring, communication, and coordination on-board operation.
A Hybrid Methodology for Human Reliability Assessment in Maritime Cargo Accidents
Authors: Prilana R E , Bowo L P , Furusho M 
Published: February 2021

Abstract
The maritime cargo shipment is always looking for implementing new safety measures to reduce the cargo accident rates. However, it is challenging to find the root cause that led to a specific cargo accident. The accidents result from a complex chain of events, where there is usually more than one factor solely responsible for maritime cargo accidents. The present contribution aims to find the causal factor of the accidents and predict human error probability after the accidents using the hybrid methodology. The hybrid methodology that uses this study to assess human error of maritime cargo accidents is Human Error Assessment and Reduction Technique (HEART) – 4M and TOPSIS with Technique for Risk Perception. The HEART methodology assumes that any predicted reliability of task performance may be modified according to the presence of identified Error Promoting Conditions (EPCs). A technique for Risk Perception decomposes a task into sub-task steps for which quantification data are provided. The corresponding results show that the most common situation that maritime cargo accidents occurred due to the man factor is during the loading and unloading process.
Analysis of Power Requirements and Turning Circle of Amphibi Coach
Authors: Moganti V D , Garetno R E , Irvana R , Fadillah A 
Published: February 2021

Abstract
This research is a continuation of the previous one. It is an analysis to find the power requirements and turning circle of Amphibi Coach. In this analysis, the method used for calculating the propulsion power when in water uses the KR-Barge calculation method. In turning circle analysis using the Hovgaard method, this method is a simple method for estimating turning circle without field testing. The standard used for turning circles refers to the standard Resolution MSC 137 (76) (adopted on 4 December 2002) Standards For Ship Maneuverability. From the calculation of the driving power, the driving power needed when the Amphibi Coach is in the water is 126.99 HP while the Amphibi Coach driving power when on the ground is 420 HP. The final propulsion is determined based on the greatest propulsion, which is 420 HP. The results of the Amphibi Coach turning circle analysis showed that the Amphibi Coach turning circle without Fin Stabilizer was 25.96 m and had a tactical diameter of 51.92 m. For Amphibi Coach turning circle with Fin Stabilizer of 26.34 m and has a tactical diameter of 52.69 m. Amphibi Coach turning circle analysis using the approach formula shows that the results obtained have met the applicable criteria.
Automated door with face recognition: using artificial neural network approach
Authors: Bashir A , Tahir N M , Zimit A Y , Bature U I , Abubakar K A , Nasir A Y 
Published: February 2021

Abstract
The implementation of an accurate face recognition system in a hardware device is a very important aspect of various security applications. In a security system, any type of password is used to access private and confidential data, some are hard to remember and can be stolen or guessed, misplaced, forgotten, purloined or duplicated, or become corrupted and unreadable. While there have been significant improvements in the algorithms with increasing recognition accuracy, only a few types of research were conducted on implementing these face recognitions in hardware devices. Door access control systems based on face recognition is geared towards simplifying much-difficult face recognition problems in uncontrolled environments. This report comprised mainly of three sub-phases: face detection, face recognition, and automatic door access control. The face is detected by using the Viola-Jones method and face recognition is implemented by using the Principal Component Analysis (PCA). If a face is recognized, it is known, else it is unknown. The door will open automatically for the known person due to the command of the microcontroller (Atmega328P) received from the MATLAB program. On the other hand, the alarm will ring for an unknown person.
Resistance Analysis of Rescue Boat in Calm Water Condition
Authors: Utama I K A P , Sutiyo  , Suastika I K , Sulisetyono A , Hasanudin  , Hermawan Y A , Aryawan W D 
Published: February 2021

Abstract
Search and rescue operations, especially in ship accidents, require speed and reliability from the rescue vessels in facing the challenges of extreme weather and sea waves. A rescue boat hydrodynamic performance study is very important to be carried out in order to determine the ship’s ability to withstand dangerous conditions while in operation. A combination of using Maxsurf and CFD method are implemented to estimate the resistance of 3 (three) selected designs of crew boat, which demonstrated a good agreement between the two techniques. Selection of the final design also uses seakeeping criteria, i.e. having lower pitching and rolling responses. The final model is further tested in a towing tank belongs to the Institut Teknologi Sepuluh Nopember (ITS) and agrees well with Maxsurf and CFD calculation.
Infobot: An Autonomous System for Offline Shopping
Authors: Balaji A , Ragunathan R , Rithic Sai R , Nithya V 
Published: February 2021

Abstract
Transfiguring the customer expectation requires a ubiquitous range of precision and speed that conventional approaches can’t meet in real time. Recent technological progress in robotics has resulted in developing information bot which can interact with customers and made products feasible to commoditize. The source of information is the wealthiest thing in the world. As a human being everyone will tend to seek information from various sources. The source of information before a certain period of time were only books but now it has experienced a drastic growth. The proposed project facilitates the role of guide robot to locomote from unit to unit in the shopping mall. In most of the shopping malls and organizations, there is no provision to provide information about certain products that are available in the shopping mall itself. It becomes a tedious process to search for a product in the mall. To overcome the situation, people tend to move for online shopping. In online shopping, there will be lot of disappointment like product misplacement, product damage, product with low quality etc., while purchasing the products. To solve this problem a mini bot is introduced in this project that would provide information about the products. The same concept if introduced in organizations it will be quite easier to collect the information about any person or department. The motivation of the project is to design a movable bot which provides the information in all aspects based on user interaction. Thus, the project elicits a wireless operating bot with fast track product navigation in a continual zealous of incumbent based on direct customer choice.
IoT Based Well-organized Hostel Power Consumption and Attendance Administration System
Authors: Geetha V , Anbumani V , Selvi T , Sindhuja C S , Vanathi S 
Published: February 2021

Abstract
Most of the educational institutions in India are with the conservative follows for monitoring their resources precisely hostel facilities. In this project, two major issues namely energy conservation and monitoring of hostel attendance are considered. Now a days the power consumption by the educational institutions is more than 2 billion units as per the survey held in 2015. Energy demand is one of the increasing burdens for government and it is increasing exponentially in the recent scenario. Energy conservation can be the greatest key for rising energy demand. In this regard, power saving is a vital matter and it is more serious in hostels as some irresponsible students who leave the room without switching OFF the lights and fans. Another issue with today’s hostel maintenance is student’s attendance and their in/out time. Conventional system follows camera facilities. But many miserable incidents have happened to the students especially girls when they had a long travel to their hometown. Hence by means of well-organized hostel administration system with RFID reader, fingerprint sensor, PIR sensor is designed to work under two modes namely Manual Mode and Automatic Mode and provides solution for these two issues.
3D Printing Concrete: A Review
Authors: Krishnaraja A.R. , Guru K.V. 
Published: February 2021

Abstract
3D Printing concrete is new developed technology with no reinforcement or by providing reinforcement as like cable in the year 1987. The printing concrete is printed with the printer in different shapes and sizes. Size of aggregate used is very minimum which passes through the nozzle of printer. The strength of 3DPC is tested by compression, flexural, tensile, shear tests for identifying durability, extrudability, workability of printing concrete. The slump flow is carried for finding the flowability of concrete that passes through the nozzle of the printer. Fibers such as polypropylene, PVA, GGBS, Steel were used in addition of mix to increase the strength of 3DPC. Superplasticizers, Fly ash Silica fume, Geopolymer are used in concrete with percentage addition into the mix for raising the strength of the printing concrete. Result shows the strength of PC in different mix proportions along with varring size of specimens. Pumpabality and Buildability of printing concrete is analysed by slump flow test. Reinforcement for this concrete is provided as in form of cables that passes freely through nozzle for printing the concrete.
Review on Online Monitoring and Control in Industrial Automation–An IoT Perspective
Authors: Maheswari C. , Ajeesh Babu Perinchery A. , Priyanka E.B. , Ambika K.S. , Narmatha S. , Prenitha A. , Monisha M. 
Published: February 2021

Abstract
Internet of things (IoT) is developing much fast than any other technology. IoT framework can be called as a gathering of smart gadgets that connect on a shared premise to satisfy a shared objective. IoT systems may use different processing and communication architectures, technologies, and design methodologies. This selection is based on the target it must be achieved. This review work focussed on the step into the different communication protocols used in IoT systems.
Rheological properties of self compacting concrete with partial replacement of metakaolin in cement and plastic fibre
Authors: Arun Kumar M , Selvapraveen S , Dharani Prasath P , Bavithran R , Dhanabal G 
Published: February 2021

Abstract
This work deals with the experimental study of SCC with plastic fibre and metakaolin. Metakaolin with 20% replacement for cement and also addition of plastic fibre in SCC are tested. The influence of mineral admixture and the addition of plastic fibre in physical and mechanical properties in SCC are investigated. Plastic fibre is added to SCC with five various ratio are 0%, 0.25%, 0.5%, 0.75% and 1%respectively. The fresh concrete is tested by L – box test, V – funnel test and U – box test. The hardened concrete is tested by compressive test, flexural strength test and split tensile test. The properties of fresh concrete demonstrated that filling and passing capability of SCC are weak because of introduction of plastic fibre but are not greatly affected the properties. The hardened concrete properties show that metakaolin and plastic fibre has an impact on the strength of SCC.
Design and Analysis of Two-Link Discrete Flexible Manipulator
Authors: Punniyawarthana S , Mohanraj T 
Published: February 2021

Abstract
Proposed two-link flexible manipulators suit the requirement of larger work volume than the traditional flexible manipulators and handle high payloads equal to that of rigid manipulators. The simulation was performed on the Computer-Aided Design (CAD) model of the Motoman HC-10DT, a Human-Collaborative robot. During the analysis, one link of the manipulator was modified as a flexible manipulator for which static and modal analysis was done and compared the results with the actual link of the robot to validate the proposed design. The kinematic analysis was also done to find the reach of the modified robot. Total deformation on both the flexible manipulator and the actual link of the robot was 0.2mm but the maximum von Mises stress acting on the flexible manipulator was 2.97% lesser than that of the rigid link of the robot. Eventually, the safety factor of the flexible manipulator was higher compared to the rigid link. The factor of safety of the upper link is 1.41 and the lower link is 1.51 whereas the actual link of the robot has the safety factor of 1.30.
A low cost and user friendly vehicle crash alert system using arduino
Authors: Vijayaraja L , Dhanasekar R , Magesh Krishna R , Mahidhar M , Prakash D , Shashikumar P 
Published: February 2021

Abstract
This paper is aimed at developing a vehicle crash detection system using Arduino, GPS, GSM and accelerometer. Accelerometer detects the sudden change in the axes of vehicle and GSM module sends the alert message on your mobile phone with the location of the accident. Location of accident is sent in the form of Google map link, derived from the latitude and longitude from GPS module. The message also contains the speed of vehicle in kilometers per hour. The proposed model can also be used as a tracking system and much more, by just making few changes in hardware and software. The alert system has been developed in real time and performance is discussed.
Exposure of Crash in Metal Foil Using UWB Antenna
Authors: Vijaya Vardan Reddy S.P. , Vanaja S. , Malarvizhi C. , Krishnan Rahul 
Published: February 2021

Abstract
Crash in aluminium are one of the earliest indications of degradation of products which are made up of aluminium. Detecting crashs in aluminum is a challenging task. Several non-destructive techniques have been used to detect the crack such as laser spot thermography, pulse eddy current technique, dye penetrant testing. In this paper, Ultra-wideband antenna is proposed for crash detection in aluminum. The Proposed Ultra-Wide Band (UWB) antenna has the capability of operating between 3.1GHz to 10.6GHz. The proposed antenna consists of rectangular radiating patch above the FR4 substrate which is having the dielectric constant 4.3 and thickness of 1.6mm. The results of the designed antenna like gain, radiation pattern, directivity, return loss is simulated by CST Microwave Studio software. The return loss features of the antenna shows the presents of crack in the aluminum.
Design of prescriptive model using nano-enabled sensors for water treatment and precise drip irrigation
Authors: Anitha N , Devi Priya R , Baskar C , Jaikaran D 
Published: February 2021

Abstract
Agriculture is one of the major sources of Indian economy where 60% of the population depend on it for survival. Due to increase in population size, water scarcity problem and pollutant water from industries directly affects economic growth in agriculture field. Over the past decade, many researchers have addressed this problem and provided solutions for water treatment and methodologies to effectively use water resources based on crop need. Most studies have only focused on effective water management practice and failed to remove water toxicants. Hence this paper seeks to address the removal of heavy metals in water resources using nano-sensors and proposed a prescriptive model to estimate the amount of resources like nutrients, fertilizers and water based on crop requirements. The proposed model is designed with the objective of implementation in irrigation areas to effectively remove toxicants from water resources and efficiently manage resources like nutrients, soil, fertilizers and water based on drip irrigation.
Role of Artificial Intelligence in the Internet of Things – A Review
Authors: Yashodha G , Pameela Rani P R , Lavanya A , Sathyavathy V 
Published: February 2021

Abstract
The Internet of Things (IoT) presents a chance to gather continuous data about each physical activity of a business. Computerized reasoning (AI) is assuming a developingjob in IoT applications and organizations, a move clear in the conduct of organizations working here. Organizations over the world are quickly utilizing the IoT to make new systems of items and administrations that are opening up new business openings and making new plans of action. The subsequent change is introducing another period of how organizations run their tasks and draw in with clients. There is ahugeopen door for those organizations that can change over crude IoT information into business bits of knowledge, and the way to doing so exists in powerful information diagnostic. Associations are currently compelled to look further into their information to discover new and inventive approaches to build effectiveness and seriousness. With ongoing advances in science and innovation, especially in AI, associations are receiving bigger, progressively thorough investigation methodologies. For organizations to understand the maximum capacity of IoT enablement, they have to consolidate IoT with quickly propelling AI innovations, which empower ‘brilliant machines’ to recreate savvy conduct and settle on very much educated choices with practically zero human intercession. Coordinating AI into IoT systems is turning into an essential for achievement in the present IoT-based computerized biological systems. So organizations must move quickly to distinguish how they’ll drive an incentive from consolidating AI and IoT or face playing get up to speed inyears to come. In this paper, we will investigate the development of IoT andhow best IoT can play a key in joining with AI canaccomplish for the business in the future. On-going advancement in the cutting-edge innovation has paid in refining individuals’ survives and subsequently there is a strong belief that approved examination plans together with computerized reasoning will be of noteworthy preferred position in helping individuals to fight this contamination. IoT is useful for a contaminated patient of COVID-19 to recognize manifestations and gives better treatment quickly. It is valuable for quiet, doctor, specialist and emergency clinic the board framework.
Consumer product preference prediction towards online shopping
Authors: Deepa S , Suguna R , Sathishkumar P , Jamunadevi C , Vidhya E N 
Published: February 2021

Abstract
Nowadays E-commerce plays a major role in a business organization. People prefer online shopping rather than offline shopping which helps them to purchase their product from anywhere around the world through mobile phones and laptop. Online shopping websites help people by saving time and product order can be done easily by clicking the product. Online shopping websites are built using the Single Page Application (SPA) framework and the objective of this research is to find the customer preference product prediction by tracking the frequent clicks of the product by the customer. By tracking the clicks of customer we can find their product choice and helps retailer to add the products according to user preference.
Secure data sharing for mobile cloud computing using RSA
Authors: Arumugam M , Deepa S , Arun G , Sathishkumar P , Jeevanantham K 
Published: February 2021

Abstract
Mobile cloud computing (MCC) refers to an infrastructure in which data processing and storage can take place far from mobile devices. The convergence of compact registration and network distributed computing has created scalable distributed computing. This technology provides consumers a number of points of interest, similar to storage limits, reliability, scalability and access to real-time information. As a result, it is expanding steadily and is undoubtedly organised into a daily day-to-day life. The Cloud servers can be used for the preparation and storage of information.However, in the current conditions, the secrecy of photos and information is generally important. In this paper, we concentrate mainly on the safe re-appropriation of photographs.
Counterfeit drugs prevention using block chain techniques
Authors: Arumugam M , Deepa S , Sreekanth G R , Arun G , Nilesh S 
Published: February 2021

Abstract
The production and distribution of counterfeit drugs is an urgent and increasingly critical worldwide issue, especially in developing countries. The pharmaceutical counterfeiting’s market price has hit over billions of dollars yearly. The flawed supply chain system in the pharmaceutical industry is one of the main reasons for drug imitations. Before meeting the clients, the ownership of the medicaments shifts from suppliers to wholesalers. Knowledge is not shared between processes in modern supply chain systems; manufacturers don’t even have any input at what occurs to their goods, just that the drug administration has no summary of the system; reminder programs are complex and inefficient and patients can not follow up. This project describes how in the pharmaceutical supply chains we use block chain technologies to provide the monitoring and protection of the drug supplier. The presented method will also be used by the pharmaceutical industry to track the medication from the particular time it is manufactured to the patient. The result of each drug used is recorded for future use in the database. An accepted block chain is used for storing transactions and only trusted parties can enter the network and move data in the block chain.
Advancement in Precision Medicine and Recommendation System for Clinical Trials Using Deep Learning Methods
Authors: Ponselvakumar A.P. , Anandamurugan S , Logeswaran K. , Nivashini S. , Showentharya S.K. , Swetha Jayashree S. 
Published: February 2021

Abstract
The arena for precision medicine has made vast development in progress with big data, deep learning. The personalized health information provides more insight on patient care in all directions which gives better treatment. Many researchers and peoples accept personalized provides more quality of diagnosis and medicine. This paper provides an overview various methods, algorithms, frameworks developed for personalized healthcare. In this article focus on two main accept one is recommendation system for personalized healthcare which provides more data insight mechanism and approach to diagnosis a patient, second it focus deep learning mechanisms in various fields of healthcare, bioinformatics and genomics to deliver accurate results based on advancements in algorithm. This article reveals both combination of recommendation system along with deep learning quality of precision healthcare achieved to patients.