bluuebunny/crossref_metadata_2025 huggingface dataset:
the relationship between complience use PPE eyes with metal welding chips in eyes welders in the welding workshop in boja
Authors: Fatmasari Ikka Fitria feby , Musyarofah Siti , Widjasena Baju
Published: November 2019

Accident that occured in the workplace there are several interrelated causes can be a death cause, disable and work-related disease (WRD). Welders in welding workshop have some several eye injuries incident. One of them was metal welding chips. The use of PPE eyes is very importance for welders. Infact still many welders who neglect in this health. This study aim to determined the relationship between compliance use PPE eyes with metal welding chips on the eyes welders in the welding workshop in Boja village. This research used survey analytic research with cross sectional approach. The population in this study was all welders in welding workshop in Boja village. The sampling technique with total sampling that accorded to the inclusion criteria. The sample was 34 respondents. The instrument that was used were questionnaires and checklist sheets. The results indicated that the welders that compliance using PPE eyes as much as 44,1%. The welders rarely exposed by metal welding chips as much as 47,1%. The data analayzed with Chi-Square test there was significant relationship between compliance PPE eyes with metal welding chips on the eyes welders in the welding workshop in Boja village. {p value = 0,001; PR= 3,947 (1,4-11,2)} Based on result of the study, the welding workshop holders are being recommended to provide PPE eyes and supervise the use of PPE eyes for the welders
analisis soil transmitted helminth dan anemia dengan prestasi belajar pada anak di sekolah dasar kecamatan banguntapan bantul yogyakarta
Authors: Sumekar Ariana , Chasanah Siti Uswatun , Damayanti Susi
Published: November 2019

Prevalensi kecacingan oleh cacing yang ditularkan melalui tanah pada anak sekolah dasar adalah 60% - 80%. Prevalensi infeksi kecacingan pada anak sekolah dasar di Indonesia mengalami fluktuasi yaitu pada tahun. Penyakit ini dapat menyerang seluruh kelompok umur tetapi lebih banyak menginfeksi anak-anak sekolah dasar. Tujuan penelitian ini adalah mengetahui hubungan soil transmitted helminth dan anemia dengan prestasi belajar pada anak sekolah dasar di Kecamatan Banguntapan Kabupaten Bantul Yogyakarta. Penelitian ini dilakukan di Sekolah Dasar Kecamatan Banguntapan Bantul Yogyakarta pada tahun 2017, dengan desain penelitian cross sectional analitik. Pengambilan sampel dilakukan dengan simple random sampling di tiga sekolah dasar di Kecamatan Banguntapan Kabupaten Bantul, DIY dengan jumlah 115 siswa. Pemeriksaan telur cacing menggunakan metode Apung (Flotation Method). Tahapan analisis yang digunakan adalah analisis univariat dan bivariat (menggunakan uji chi square dengan α=0,05). Hasil penelitian adalah terdapat 0,9% anak sekolah dasar di SD Kecamatan Banguntapan terinfeksi kecacingan yaitu Trichuristrichiura. Prevalensi anemia pada anak sekolah dasar di Kecamatan Banguntapan adalah 16,5%. Asupan makanan dengan kategori kurang sebanyak 60,9%. Prevalensi gizi kurang pada anak sekolah dasar di Kecamatan Banguntapan adalah 6,1% dan gizi lebih 35,7%. Prestasi belajar siswa dengan kategori kurang sebanyak 47,8% Terdapat hubungan yang sigifikan antara status gizi dan asupan makanan dengan prestasi belajar siswa di Kecamatan Banguntapan. Tidak ada hubungan yang signifikan antara kecacingan dan anemia dengan prestasi belajar siswa di Kecamatan Banguntapan.
identifikasi perkembangan balita dengan metode kpsp terhadap status gizi balita di boyolali
Authors: Nurhayati Isnani , Hidayat Anas Rahmad
Published: November 2019

Data dari Riset Kesehatan Dasar tahun 2018 menunjukkan masih adanya status gizi kurang dan buruk 17% di Indonesia, Sedangkan tahap perkembangan balita saat ini mennejtukan masa depan bangsa. Status gizi sangat mempengaruhi pertumbuhan dan perkembangan balita terutama balita karena berkaitan erat dengan kesehatan dan kecerdasan. Status Gizi tahun 2015 menunjukkan bahwa balita menurut indeks berat badan per usia didapatkan hasil 79,7% gizi baik; 14,9% gizi kurang dan 3,8% gizi buruk dan 1,5% gizi lebih.Penelitian ini bertuan untuk mengidentifikasi perkembangan balita dengan metode Kuesioner Pra Skrining Perkembangan balita terhadap status gizi balita.Metode : Penelitian ini merupakan jenis penelitian analitik observasional dengan pendekatan cross sectional.berlokasi di wilayah binaan Puskesmas Cepogo Boyolali.Teknik pengambilan sampel menggunakan teknik Non Probability sampling dengan Purposive Sampling, besar sampel menggunakan rumus Slovin didapatkan 92 balita yang akan dijadikan responden.Pengumpulan data menggunakan antropometri dan tes perkembangan dengan metode KPSP  sedangkan status gisi ditentukan dengan z-scor. Data dianalisa secara bivariat dan univariat (chi- square).Hasil : Penelitian ini menunjukkan perkembangan balita sesuai dengan umurnya yaitu berjumlah 68,5%. Status gizi balita menurut BB/U adalah baik, menurut TB/U dengan status gizi Normal 81,5%, menurut (BB/TB status gizi normal 71,7%, menurut IMT/U status gizi Normal 78,3%. Ada hubungan identifikasi perkembangan dengan metode KPSP terhadap status gizi balita ditunjukkan dengan p value =0,000<α=0,05.Kesimpulan : Ada hubungan Identifikasi perkembangan balita dengan metode KPSP terhadap status gizi balita..
analisis perilaku pekerja seks komersial dalam memanfaatkan layanan kesehatan di lokalisasi tegal panas kecamatan bergas kabupaten semarang
Authors: Sunarti Sunarti , Suratmi Tri , Darwis Darnialis
Published: November 2019

Infeksi Menular Seksual suatu penyakit yang disebabkan oleh bakteri, virus, parasit, atau jamur yang ditularkan dari satu orang ke orang lain melalui kontak atau hubungan seksual. Pengidap terbanyak di Indonesia adalah mereka yang berusia produktif umur 20-39 tahun. Di Indonesia jumlah kasus IMS dengan penegakan diagnosa berdasarkan pendekatan sindrom dan pemeriksaan laboratorium menurut kelompok risiko tertinggi adalah wanita pekerja seks dengan jumlah 8.765 kasus. Pekerja Seks Komersial berisiko tertular penyakit menular seksual. IMS dapat meningkatkan risiko tertular infeksi HIV (Human Immunodeficiency Virus) , sehingga membuat mereka mempunyai peluang untuk terkena IMS dengan pekerjaannya melayani banyak pelanggan yang berbeda-beda. Penelitian ini bertujuan untuk menganalisis perilaku pekerja seks komersial dalam memanfaatkan layanan kesehatan di Lokalisasi Tegal Panas. Rancangan penelitian yang digunakan adalah deskriptif kualitatif. Subyek dalam penelitian ini adalah 6 PSK dan 3 informan kunci (Petugas Kesehatan dan Mucikari). Objek dalam penelitian ini yaitu perilaku PSK dalam memanfaatkan layanan kesehatan. Metode dalam penelitian ini yaitu observasi, wawancara mendalam dan FGD yang dilakukan di Lokalisasi Tegala Panas dengan menggunakan analisis data yaitu analisis conten dan reduksi data. Pengetahuan PSK seperti tanda gejala dan jenis-jenis mengenai IMS masih kurang, namun cukup baik dalam hal pencegahan dan pengobatan IMS, sebagian besar  mereka melindungi diri dengan meminum antibiotik dan mencuci alat kelamin dengan antiseptic. Penggunaan kondom didasarkan kesepakatan dengan pelanggan serta layanan kesehatan yang belum dimanfaatkan oleh semua PSK yang ada di Lokalisasi.
Optimization of Neural Networks using Deep Ge-netic Network Algorithm
Authors:   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Choudry Siddhartha dhar , Mehrota Kunal ,   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Pandey Shashank ,   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., raj Christhu ,   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Sukumaran Rajeev ,   Teaching Learning Centre, Indian Institute of Technology Madras, Chennai, India.
Published: November 2019

The optimization of performance of a neural net-work is a time taking and tedious process, this iterative and con-tinuous process has no definite solution that works well for every possible use case. To tackle this problem we propose an architec-ture of neural networks called “Deep Genetic Network”, which can help in automatic selection of hyper parameter values based on fitness measures during training of the network. The algo-rithm is a confluence of deep neural networks and genetic algo-rithm. The problem of optimizing a neural network can be classi-fied into – Architecture and Hyperparameter optimization. A va-riety of algorithms have been proposed to solve this issue. Our approach uses concepts of mutation and mating (from genetic algorithms) for helping the neural net in finding the optimal set of hyperparameter values during training without requiring any manually setting the values in an iterative trial and error ap-proach. The architecture that we propose here works well in op-timization of hyperparameter values in convolutional, recurrent and affine layers. The usage of genetic algorithms for resolving this issue has worked well given adequate training time and com-putational resources.
About a Distance Measure and Application for Finding Reduct in Incomplete Decision Tables
Authors:   Vinh Phuc College Phuc Yen, Vinh Phuc Province, Vietnam., Tuan Nguyen Anh , Giang Nguyen Long ,   Institute of Information Technology, Vietnam Academy of Science and Technology; Hanoi, Vietnam.
Published: November 2019

Tolerance rough set model is an effective tool to reduce attributes in incomplete decision tables. Over 40 years, several attribute reduction methods have been proposed to improve the efficiency of execution time and the number of attributes of the reduct. However, they are classical filter algorithms, in which the classification accuracy of decision tables is computed after obtaining the reducts. Therefore, the obtained reducts of these algorithms are not optimal in terms of reduct cardinality and classification accuracy. In this paper, we propose a filter-wrapper algorithm to find a reduct in incomplete decision tables. We then use this measure to determine the importance of the property and select the attribute based on the calculated importance (filter phase). In the next step, we find the reduct with the highest classification accuracy by iterating over elements of the set containing the sequence of attributes selected in the first step (wrapper phase). To verify the effectiveness of the method, we conduct experiments on 6 famous UCI data sets. Experimental results show that the proposed method increase classification accuracy as well as reduce the cardinality of reduct compared to Algorithm 1 [12].
Low Cost Arduino Based Energy Efficient Home Automation System with Smart Task Scheduling
Authors:   Department of Electrical & Electronics Engineering, Kallam HaranadhaReddy Institute of Technology, Guntur, (A.P), India., Raju K. , Rao L.Shanmukha ,   Department of Electrical & Electronics Engineering, Kallam Haranadha Reddy Institute of Technology, Guntur, (A.P), India.
Published: November 2019

home automation or smart home industry has been grown rapidly over the last few years and also it will ne continued in future due to its various benefits and demand in the market. In this paper a hardware of home automation system is presented that is inexpensive than available similar products in the market. The home automation system is developed that consisting of ultrasonic sensors, Arduino UNO, relay coil and connects controlled devices to a central hub or “gateway”. It is efficient in operation, reduces the energy in operation and reduces the energy utilization with less maintenance cost.
The Effect of Humour in Minimizing Stress among Engineering Students
Authors:   Centre for Curriculum and Public Studies, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia., Isa* *Khairunesa , Jam Nor Aishah Mat ,   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia., Muda Wan Hanim Nadrah Wan ,   Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia., Kadir@Shahar Hazila ,   Center for Languages Studies, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia
Published: November 2019

The world’s economic development has demanded a university to produce more skilful and competitive students. Therefore, the university has played a significant role in designing the best curriculum which is in line with the market need. Fulfilling those demands and needs, students must meet all the requirements stipulated by the curriculum but somehow, some of the students are experiencing stress due to their inability to meet the university's curriculum requirements. Although the students are under pressure they are still able to control it by using humour. Based on a study conducted on 200 university students, the results showed that the level of stress among students was a moderate level with symptoms such as dry mouth and hands shaking. In addition, the findings indicated that academic factor has a strong influence on students’ stress rather than financial and family factors. However, the results also indicated that students are able to control their stress levels based on their own attitude of humour namely; the affiliative humour and the self-enhancing humour.
Communication Sentiment Analyzer using Machine Learning with Naive Bayes Bernoullinb
Authors:   Asst. Professor Srm Institute of Science and Technology, Ramapuram, Chennai. India., Mr. Prabu  , Aithani Mayank Singh ,   B. Tech Student at SRM Institute of Science and Technology, Ramapuram Chennai, India., Deb Niroj ,   B. Tech Student at SRM Institute of Science and Technology, Ramapuram Chennai, India., Joshi Pratyush ,   B. Tech Student at SRM Institute of Science and Technology, Ramapuram Chennai, India.
Published: November 2019

In this never-ending social media era it is estimated that over 5 billion people use smartphones. Out of these, there are over 1.5 billion active users in the world. In which we all are a major part and before opening our messages we all are curious about what message we have received. No doubt, we all always hope for a good message to be received. So Sentiment analysis on social media data has been seen by many as an effective tool to monitor user preferences and inclination. Finally, we propose a scalable machine learning model to analyze the polarity of a communicative text using Naive Bayes’ Bernoulli classifier. This paper works on only two polarities that is whether the sentence is positive or negative. Bernoulli classifier is used in this paper because it is best suited for binary inputs which in turn enhances the accuracy of up to 97%.
Advancement of Driverless Cars and Heavy Vehicles using Artificial Intelligence (Object Detection)
Authors:   Associate Professor, Department of Computer Science & Engineering, SRM Institute of Science and Technology, Chennai., Chelliah Balika J , Chauhan Vishal ,   B. Tech Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Mishra Shivendra ,   B. Tech Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Sharma Vivek ,   B. Tech  Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: November 2019

Autonomous car or driverless car or Self driving car, if we put in a simpler language is a car which can drive without any human controlling it from inside. It is going to be a revolutionary change in the world of technology. Autonomous vehicle has many external sensors connected to it. By these external sensors it perceived or sense the environment and make decision accordingly. We refer these external sensors as Advance control Systems. Autonomous cars have various advantages over manual cars like fewer traffic accident, smart decision making just to name a few. So, the question is why driverless cars still not succeeded yet. The answer of the question lays on threats like cybercrime, or failure of the software and importantly how they are going to coup up with the manual cars running on roads because fully automation era is still a long road to go. Their main aim is to first overcome these barriers. We have some recent technologies like Anti braking system (ABS), cruise control that can be referred as early stage development for autonomous vehicle. IN this article we going to discuss about the detection codes which will make use of perceived environment given by sensors as input in return will give vehicle information about different type of objects present on the roads. We firmly believe that autonomous vehicle will be reality soon as soon as they overcome barriers of it.
DOA Estimation on Non-Uniform Linear Array using Extended Kalman Filter
Authors:   Electronics and Communication Engineering, S „O‟A University, Bhubaneswar, India., Raiguru Priyadarshini
Published: November 2019

This paper presents the performance of the Direction of Arrival estimation for Uniform and Non-Uniform Linear Array using Extended Kalman Filter. A Non-Uniform Linear Array with a specified array arrangement can estimate the signal’s DOA and gives better accuracy and resolution as compared to Uniform Linear Array.
Motion of Multiple Robot in a Curved Boundary & Obstacles
Authors:   Mechanical Engineering Dept, Jawaharlal Nehru Technological University, (Hyderabad), India., Lakshmi K Prasanna
Published: November 2019

An attempt is made in this paper to gain the flexibility of movement of robots around the boundary of the workspace, where in many robots are moving at a time in the presence of the static curved obstacles. The boundary of the workspace may be a straight line or curve shaped. The obstacle may be polygonal or curved shaped. A program is developed for the motion of the multiple robots to move from its origin location to the desired location without colliding with the boundary, the other moving robots and the static obstacles. The program is based on the curve fitting technique. As and when the robot comes close to the curved boundary or curved barrier, it will trace the path formed by the curve equation using the technique of curve fitting. Since there are multiple robots, the path planning ensures the robots to reach their targets in minimum time. During tracing the path, if more than one robot is following the same path, priority is assigned to such robots. Multiple robots finds application in assembly operations, medical supplies and meals to patients, disinfecting the rooms for patients etc.
Gender Classification from Facial Images
Authors:   Department of IT, Gauhati University, Guwahati, India., Ahmed Mazida Akhtara , Choudhury Dr. Ridip Dev ,   IDOL, Gauhati University, Guwahati, India.
Published: November 2019

Gender is one striking feature that human can deduce effortlessly when looking at a face. Here, we try to classify the gender (male or female) based on the face images. The first part of this paper presents a review of different methods/approaches used for gender recognition. We present a comparative analysis for gender recognition using PCA, 2dPCA and its variants. Finally, we develop an iterative model using 2dPCA which updates itself when new samples are encountered. This model is expected to be fruitful in real-life situation as it can learn when it comes across new test samples. We consider CFD, CUHK, ORL and Yale facial data-sets for our experiments.
Securing Cloud in Industrial IoT using Iris and Retina Scanner
Authors:   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Kalaiarasi S. , Sathyamurthy Srinidhi ,   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Garg Tanisha ,   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India., Gupta Pallavi ,   Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
Published: November 2019

Cloud computing has become extremely popular. It is one of the fastest evolving technologies. It is mostly used in industrial IoT, where the data generated is huge. It has many advantages. But there are also a few security issues we have to deal with when it comes to using the cloud. Data plays a very significant role in cloud computing. But data breaching can collapse a business. Also, any third party can log in to these cloud servers and use the valuable data for various other purposes. So trustworthy security measures have to be taken, to make sure that the information is protected and misuse of data does not take place. A few biometric methods have been implemented, but it not very cost-effective. And since the data is stored on remote servers, the data can never be a hundred percent safe. A new system has to be implemented, which is both easy to execute and demands less cost. This paper discusses how Iris and Retina scanners can be put together to ensure the security of the data stored in the cloud servers.
Fabrication of Automated Four-Way Hack Saw Machine by using Scotch Yoke Mechanism
Authors:   M. Tech Student, Department of Mechanical Engineering, JNTUA College of Engineering, Pulivendula, India., Nagaraja Vydyam , Rajesh M. ,   Assistant Professor, Department of Mechanical Engineering, JNTUA College of Engineering Pulivendula, India.
Published: November 2019

Now days, increasing productivity is the main requirements in production engineering. This is possible by either reducing the operation time or by improving the efficiency of the machine. In the mass production, work pieces are machined simultaneously without any ideal time. This machine operates four hack saws simultaneously at the identical time. In this project the human effort is reduced by automating the hack saw machine, which performs less and easier operations of cutting the wood, metals and plastic materials. In This current research, a scotch yoke (Slotted link) mechanism is used to convert rotary motion of the pulley into the reciprocating motion of the hack saw frame to get the desired cutting action. Additionally, by keeping the Rheostat to the motor, the speed of hack saw frame is controlled according to the type of the work piece, and also the hack saw frame can be attached or removed when the work center is in ideal. Hence, by the four way hacksaw machine, the production rate can be increased and cost of labor also minimized.
Directed Acyclic Graph-based Distributed Ledgers – An Evolutionary Perspective
Authors:   Ph.D. Research Scholar, Department of Computer Science, Central University of (Tamil Nadu), India., Kondru Kiran Kumar , Saranya Dr. R ,   Assistant Professor, Department of Computer Science, Central University of (Tamil Nadu), India.
Published: November 2019

Blockchain platforms like Bitcoin and Ethereum have introduced a distributed and decentralized cryptocurrency system with no third-party intermediation required. These peer to peer network systems allows Internet users to directly transact with each other. However due to the heavy emphasis on decentralization, scalability has taken a back seat. It has also become a key issue in the wider adoption of these technologies. The change to the underlying data organizing structure to Direct Acyclic Graphs (DAG) of the distributed ledger, has significantly increased transaction scalability. In this paper, we analyse some of the Distributed Ledger Technologies that use DAGs and have shown marked improved in transaction performance without weakening security.
Intelligent Healthcare on Hydrocephalus Management using Artificial Neural Network Algorithm
Authors:   CIS Department, University Technology PETRONAS, Tronoh, Malaysia., Suhaimy Anisah Mardiah binti , Anwar Toni ,   Assoc. Prof. CIS Department, University Technology PETRONAS, Tronoh, Malaysia.
Published: November 2019

Shunt efficiency plays an important role in hydrocephalus management. Artificial intelligence has been used far and wide in managing healthcare treatment such example is the use of artificial neural network for increasing shunt device efficiency as through the research done has find that there are gap in current practice. This research focus in improving artificial neural network algorithm to create a more efficient hydrocephalus shunt device that could detect any shunt malfunctions before used clinically on patient. The improved algorithm would also help to ensure a more efficient shunt management, in terms of after shunt insertion; predicting shunt infection to decrease the length of hospitals stays and mortality rate for patients especially for children. The method proposed is by improving the current algorithm that are currently being used by the shunt device to increase its efficiency and also enable advance data collection for more accurate prediction.
CFD Simulation of Natural Convection Flow and Heat Transfer Process in Rectangular Cavity
Authors:   Assistant Professor, Research Group, School of Mechanical and Building Sciences, Vellore Institute of Technology Chennai, (Tamil Nadu), India., Harish R.
Published: November 2019

In this paper we investigate the natural convective heat transfer process inside a ventilated rectangular cavity with a projected heat source. The heat source block is mounted on the bottom wall and a horizontal vent is provided on the top wall of the rectangular cavity. The flow is induced due to the density difference which arises due to the variations in temperature between the heat source block and the surrounding ambient fluid. A FORTRAN 90 CFD solver is developed to simulate the natural convection phenomena by solving the Navier-stokes equation, energy equation coupled with Realizable k-ε turbulence model. The transient flow behavior inside the cavity is simulated by varying the heat source aspect ratios, Grashof number and the heat source locations. It is found that the heat source aspect ratio and its locations significantly influences the flow and heat transfer characteristics inside the cavity. The bidirectional exchange rate across the horizontal opening increases linearly with Grashof number and heat source aspect ratio. A chaotic flow behavior pattern is observed across the opening and the strength of the instabilities increases linearly with heat source aspect ratio. It is identified that by varying the aspect ratio 0.1 ≤ β ≤ 3, the average Nusselt number and mass flow rates are increased by 28% and 43% respectively.
Fractional-Order PID Controlled Unified Power Quality Conditioner System with Enhanced Response
Authors:   Research-Scholar, Department of Electrical Engineering, Andhra University, Vishakhapatnam, India., Pasha Shaik. Abdul , Kumar Prof. N. Prema ,   AU College of Engineering, Vishakhapatnam, India.
Published: November 2019

Recently, ‘UPQC’ has been urbanized as a FACTS controller near weak buses and buses with non linear loads. ‘UPQC’ can improve receiving end voltage and provide time harmonics to the load. The UPFC and ‘UPQC’ systems are compared to find a better FACTS controller. The recommended closed loop ‘UPQC’ framework is to augment dynamic response of ‘UPQC’ system using FOPID controller. Simulink replicas are extended for PI &FOPID controlled ‘UPQC’ frameworks. The denouements of PI&FOPID based ‘UPQC’ frameworks designate that voltage retaliation of FOPID is predominant to the denouement of PI managed ‘UPQC’ system. The investigation denotes that FOPID ’UPQC’ framework has diminished settling time& steady state error.
Effect of Ambient and Elevated Temperature on the Residual Splitting and Flexural Tensile Strength of Normal and High Strength Concrete
Authors:   Research Scholar, Deptt. of Civil Engg, AMU, Aligarh, India., Rehman Ateequr , Masood Amjad ,   Professor, Deptt. of Civil Engg, AMU, Aligarh, India., Shariq M. ,   Assistant Professor, Deptt. of Civil Engg, AMU, Aligarh, India., Akhtar Sabih ,   Professor, Deptt. of Civil Engg, AMU, Aligarh, India.
Published: November 2019

Experimental test have carried out to investigate the behavior of residual tensile strength of concrete prepared using normal and high strength concrete. For the same purpose, cylindrical and prism-shaped specimens of concrete were caste and consecutively subjected to heating and cooling condition in the laboratory-controlled environment. A hold period of three hours was provided to impart the heating-cooling phenomenon inside the electrical furnace at four different sets of temperatures. The elevated temperatures chosen for the present tensile behavior study are 200oC, 400oC, 600oC, and 800oC. Strength was also determined at the ambient environment for the purpose of comparing the effects of thermal loads on the behavior of strength. A significant loss in tensile strength has been observed in concrete mixes at various temperatures. The outcomes of the current experimental work are termed useful for understanding key mechanical characteristics of concrete under the effect of thermal loads.
Developing Statistical Acoustics Model for Lecture Auditorium using Application of Reverberation Time
Authors:   Department of Energy and Thermofluid Engineering, Faculty of Mechanical and Manufacturing Engineering, University Tun Hussein Onn Malaysia, Johor, Malaysia., Ogab Mohammed , Razali Siti Noor Asyikin Mohd ,   Department of Mathematics and Statistics, Faculty of Applied Sciences and Technology, University Tun Hussein Onn Malaysia (UTHM), Pagoh Education Hub, Johor, Malaysia., Didane Djamal Hissein ,   Department of Energy and Thermofluid Engineering Faculty of Mechanical and Manufacturing Engineering, University Tun Hussein Onn Malaysia (UTHM), Johor, Malaysia.
Published: November 2019

This article focusses on the findings of a research project into the acoustic characteristics of University Tun Hussein Onn Malaysia (UTHM) classrooms. The listening ability of the students in different sitting positions with different classrooms design was conducted. Physical measurements were taken from 10 sample rooms of lecture halls and normal classrooms in four different conditions; when occupied, unoccupied, with and without air-conditioning. For an optimal learning environment in terms of Speech intelligibility of selected theatre halls and normal classrooms, academic building block G3 of UTHM have been analyzed experimentally and analytically using survey questionnaires, direct measurements of classroom noise levels and reverberation time. Thus, a statistical approach was performed to estimate the reverberation time in a room. Reverberation time and sound pressure level were correlated and the linear regression analysis was executed. The analysis was carried out using SPSS software. The survey identified the lecture auditoriums that were acoustically rated by both lecturers and students as either good or bad. The result obtained from direct measurements shows that the „good‟ classrooms when occupied typically had a mid-frequency (average of 500 Hz & 1 kHz) reverberation time (RT) of 0.42 seconds. The mid-frequency reverberation time in the “poor rooms” ranged from 0.53 to 0.63 seconds, while when unoccupied the „good‟ classrooms typically had a mid-frequency reverberation time (RT) of 0.47 seconds. The mid-frequency reverberation time in the “poor rooms” ranged from 0.59 to 0.67 seconds. It‟s obvious that theatre halls are having better acoustic properties and there was a good agreement with the result obtained from the survey. The result from the statistical models shows that the predicted reverberation time was reliable with an average percentage of errors of less than 18% compared to the measured reverberation time.
Environmentally F riendly S oil W ater C onservation T echniques
Authors:   Water and Hydraulic Structure Department, Ain Shams University, Cairo, Egypt., Almetwally* Mohamed , Soussa Hoda ,   Water and Hydraulic Structure Department, Ain Shams University, Cairo, Egypt., Fattouh Ehab Moustafa ,   Water and Hydraulic Structure Department, Ain Shams University, Cairo, Egypt.
Published: November 2019

The conservation of water resources through their optimal use is a compulsory for countries with water shortages in the arid and semi-arid regions, and it should be in an environmentally friendly manner to avoid the serious consequences of the use of environmentally harmful substances, the implications of which are currently evident from climate change, pollution of water bodies, soils, etc. Since Egypt is one of those countries suffering from water scarcity and uses about 82.5 percent of its water consumption in agriculture, according to data of the Ministry of Irrigation in 2010, so this research is focusing on the use of new methods to increase the efficiency of irrigation water, to achieve high productivity of agricultural crops with less water use that will certainly help to alleviate or solve the water scarcity issue. The study used a physical based model, to simulate the methods used to increase sand soil properties to ensure larger water retention index. Within this work, soil have been sampled from different areas, to simulate the behavior of arid lands, under different water retention techniques. Soil was exposed to different techniques, as it was mixed with soil additives in different quantities and different types. Physical barriers of cohesive soil and polyethylene sheets were used in addition to studying the effect of mulch on water storage capacity in non-cohesive soil. Water retention have been measured using the direct method of determination soil water content by oven drying and the volumetric water content (𝞱v) with time graphs have been plotted in groups, as well as the cultivated plants have been monitored as to measure the influence on plants growing and irrigation efficiency. And the experiment showed that the use of rice straw (RS) and wheat straw (WS) in the powder condition have a significant effect in increasing in the soil water content and even to the plant growth, the WS obtained 𝞱v values approaching the loam soil at times and slightly less in the case of RS, when the percentage of RC and WS was 30% to the sandy soil volume/volume (v/v). Also the use of mulch of RS showed a noticeable increase in 𝞱v and significant improvement of plant growth to that without mulch. These proven technologies can be used in sandy land targeted for reclamation to reduce water use in agriculture.
Evaluation Method for the Optimization of 3D Rigid Image Registration on Multimodal Image Datasets
Authors:   Centre for Medical Physics, Panjab University, Chandigarh, India., Handa Bhumika , Singh Gaganpreest ,   Centre for Medical Physics, Panjab University, Chandigarh, India., Kamal Rose ,   Centre for Medical Physics, Panjab University, Chandigarh, India., Oinam* Arun S ,   Department of Radiotherapy, P.G.I.M.E.R, Chandigarh, India., Kumar* Vivek ,   Centre for Medical Physics, Panjab University, Chandigarh, India.
Published: November 2019

Optimization based three dimensional (3D) rigid image registration (RIR) is one of the most commonly used methods of image registration in radiotherapy. Interpolator and similarity metric plays a crucial role in optimization image registration process. In this paper, the efficiency of image registration algorithm is analyzed by using various combinations of interpolators and similarity metric in terms of quantitative measures and is compared with commercially available image registration algorithm in radiotherapy. Computed Tomography (CT) and Cone Beam Computed Tomography (CBCT) image datasets were registered by image registration algorithm written in python language using simple image tool kit (SITK). Different combinations of similarity metric and interpolator such as mean square difference (MSD), mutual information (MI), demons and nearest neighbor (NN), linear, B- spline respectively were used in this study. The efficiency of the algorithm was quantified in terms of mean square error (MSE), structural similarity index (SSI), normalized cross correlation (NCC) and mutual information (MI). The image registration algorithm with most efficient combination of similarity metric and interpolator was selected for comparison with the commercially available image registration algorithm. The algorithm for multimodal (CT-CBCT) 3D image registration with NN interpolator and MI similarity metric showed the highest values of SSI, NCC and MI as 0.865, 0.933, 1.223 respectively among other combination of interpolator and similarity metric. Further this algorithm when compared and statistically analyzed with commercially available image registration algorithm of Treatment Planning System (TPS. most commonly used for radiotherapy treatment) resulted in no significant difference (F value NCC-3.18, MI-4.010, SSI-2.776) in their quantitative measures. The present study is limited to 3D RIR and can be extended for deformable image registration.
Present State-of-The-Art of Association Rule Mining Algorithms
Authors:   CSE Department, Vaagdevi College of Engineering, Warangal, India., Satyavathi N. , Rama Dr. B. ,   Computer Science, Kakatiya University, Warangal, India., Nagaraju Dr. A. ,   Computer Science, School of Mathematics, Statistics and Computational Science, Central University of Rajasthan, Ajmer, India.
Published: November 2019

A Data mining is the method of extracting useful information from various repositories such as Relational Database, Transaction database, spatial database, Temporal and Time-series database, Data Warehouses, World Wide Web. Various functionalities of Data mining include Characterization and Discrimination, Classification and prediction, Association Rule Mining, Cluster analysis, Evolutionary analysis. Association Rule mining is one of the most important techniques of Data Mining, that aims at extracting interesting relationships within the data. In this paper we study various Association Rule mining algorithms, also compare them by using synthetic data sets, and we provide the results obtained from the experimental analysis.
Iot Based Speech Recognition Controlled Car using Arduino
Authors:   Information Technology, SRM Institute of Science and Technology , Ramapuram, Chennai, India., Veeramani R. , Mohan R.Madhan ,   Computer Science and Engineering, Annamalai University  Chidambaram, Indian., Prajapati Deepak ,   Information Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, India., Kumar Aman ,   Information Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, India., Kumar  ,   Information Technology, SRM Institute of Science and Technology , Ramapuram, Chennai, India.
Published: November 2019

IOT based speech Controlled car is a mobile robot whose motions can be controlled by the user from remote place by giving specific predefined speech instruction through the mobile devices. Methodology used to processes the instruction is received by the mobile devices which is enabled with Bluetooth technology and speech can be processed by the speech recognition module of ARM. When an instruction for the car is identified, then voice module sends a command message to the Arduino, it will analyze the message and takes beneficial actions. The aim is to develop a walking car which is controlled by human speech and applied to the automation domain such as robotics, defence and virtual reality. When instructions are given on the bluetooth, the bluetooth module will take the voice commands and the voice commands into digital signals.
Wasserstein Clustering based Video Anomaly Detection for Traffic Surveillance
Authors:   Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India., Arivazhagan  , Rosaline M Mary ,   Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India., Jebarani W Sylvia Lilly ,   Department of ECE, Mepco Schlenk Engineering College, Sivakasi, India.
Published: November 2019

Anomaly Detection is very important in present scenario with huge availability of data and enormous difficulty in extraction of meaningful information out of it. In this paper we present an approach for video anomaly detection based on trajectory features and spatio – temporal features. Clustering of spatio – temporal features and trajectory features are performed in Wasserstein metric space and cluster distance and span in Wasserstein metric space is exploited to perform anomaly detection. The Performance of the Anomaly detection with Wasserstein distance based K – means and Wasserstein distance based DBSCAN clustering of the 3D wavelet features and trajectory features was studied. The method is robust and suffers from fewer false alarms.
Innovative Detection of Isolation and Recombination Technique with Micro Grid
Authors:   Research Scholar, EEE Department, JNTUK, Kakinada, Andhra Pradesh, India., Sirisha N. , Sumati  ,   Associate Professor, EEE Department, JNTUK, Kakinada, Andhra Pradesh, India.
Published: November 2019

An innovative technique of the Unified power quality conditioner for the location, control and integration in the Distributed generation which is based on autonomous and grid connected μg system is proposed and simulated. At Point of Common Coupling, DG converters that has storage andshunt part of APFof UPQC are connected. Before the PCC, the grid and the series part of the UPQC APFare connected in series. Also the DC link is integrated with energy storage. As a secondary mode of control, an innovative technique is introduced in UPQC for the detection of isolation and recombination inμg. Henceforth, it is described as innovative detection of isolation and recombination technique. In this system an effectual method is used for proper functioning of the recombination and isolation detection. Along with the increase in the quality of the power in terms of voltage sag/swell, compensation of the reactive power and harmonics in recombination mode, additionally it compensates voltage interruption over normal UPQC and also DG converter remains connected during the conditions of disturbances in voltage and also phase jump. The performance of the UPQC is simulated and results are analysed.
The Characteristics of Acetobacter xylinum Membrane Affected by pH of Culture Medium
Authors:   Faculty of Applied Science, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia., Kamal* Amira Syazwani Mustafa , Misnon Mohd Iqbal ,   Textile Research Group, Faculty of Applied Science, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia., Ahmad Mohd Rozi ,   Textile Research Group, Faculty of Applied Science, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia., Kadir Muhammad Ismail Ab ,   Textile Research Group, Faculty of Applied Science, Universiti Teknologi MARA, 40450, Shah Alam, Selangor, Malaysia, Rahman Sukirah Abdul ,   Pusat Penyelidikan Bioteknologidan Nanoteknologi, Ibu Pejabat MARDI, Persiaran MARDI-UPM 43400 Serdang, Selangor, Malaysia.
Published: November 2019

There are numerous previous studies working on biosynthesis, properties and applications of bacterial cellulose (BC) membrane from Acetobacter xylinum bacteria strain. However, there is less research examining the effect of initial pH level on BC membrane properties. Here, BC membranes were produced at different pH level (concentration of acetic acid) of coconut water-based culture medium which are 3.5, 4.0, 4.5, 5.0 and 5.5 for 7 days, statically. The effect of initial pH level during BC production on morphology, physical and characteristics were investigated. The Acetobacter xylinum membrane were studied its crystallinity using X-ray diffraction, FTIR analysis for chemical structure and FESEM for morphological analysis. In addition, the different of initial pH level does affect the membrane yield and breathability properties using an Upright Cup Method of water vapour permeability testing. Although certain suitable amount of acid had reduced the production yield, a breathable BC membrane was produced.
Enhancing The Mechanical Properties o f Chopped Basalt Composites b y Incorporating o f Multiwall Carbon Nanotubes
Authors:   Faculty of Mechanical Engineering, Universiti Teknologi MARA/Shah Alam, Selangor, Malaysia., Jumahat* Aidah , Azhar Ilya Izyan Shahrul ,   Mechanical Engineering Faculty, Universiti Teknologi MARA, Cawangan Johor Kampus Pasir Gudang, Malaysia, Sapiai Napisah ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA/Shah Alam, Selangor, Malaysia., Romli Noor Farizza ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA/Shah Alam, Selangor, Malaysia., Aminuldin Mohamad Aizat ,   Faculty of Mechanical Engineering, Universiti Teknologi MARA/Shah Alam, Selangor, Malaysia.
Published: November 2019

This study aims to develop and determine mechanical properties chopped basalt fibre reinforced composites (CBFRP) modified with multiwall carbon nanotubes (CNT). Chopped basalt composite modified with CNT was fabricated using a combination of mechanical stirring and hand layup process. Three different weight percentages of CNT i.e. 0.5, 1, 1.5wt. % were filled into epoxy resin before mixing with chopped basalt fiber. The mechanical performance namely tensile properties and fracture toughness behaviour of the fabricated chopped basalt composites was assessed using Universal Testing Machine in accordance to ASTM standard D368 and D695, respectively. The results showed that the incorporation of CNT enhanced tensile and fracture toughness properties of the CBFRP composites. However, a higher amount of CNT (1.5wt%) incorporated into the CBFRP caused reduction in tensile strength, tensile modulus and Gic by 4.40%, 2.46% and 30.36 %, respectively, as compared to those of 1.0CNT-CBFRP.
Role of Synthesized Soil for Minimizing Heavy Metal Penetration into the Plant’s Cell in Phytoremediation Process
Authors:   Department of Process and Food Engineering, Faculty of Engineering, Universiti Putra Malaysia, Selangor, 43400 Serdang, Malaysia., Naim M. N. , Rasid N. S. Abd ,   Department of Process and Food Engineering, Faculty of Engineering, Universiti Putra Malaysia, Selangor, 43400 Serdang, Malaysia., Bakar N. F. Abu ,   Faculty of Chemical Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia.
Published: November 2019

The advantages of synthesized soil for minimizing the heavy metal penetration into the plant cells during phytoremediation process was investigated. The synthesized soil was prepared by modifying the as-received soil into fine and coarse particles via a sieving process before subjecting the prepared soil to the lotus plant for the phytoremediation process. The as-received soil was obtained from a common paddy soil and consist of major clay elements including SiO2, Fe3O4 and Ca. After the phytoremediation process for 30 days, the bulk water, soil and rhizomes were sent for inductively coupled plasma (ICP) optical emission spectrometry. The fine soil absorbed more metal content than the coarse soil and as-received soil. Further analysis was conducted by downsizing the as-received soil into the aqueous solution of pH 4, 6 and 8 and followed by an ultrasonication process. A nanometer order particle of 157, 78 and 100 nm with various particles's surface charge of 22, 4.9 and -19.9 mV were obtained from pH 4, 6 and 8 respectively. The surface charge of the clay element that contained in the as-received soil adsorbs the heavy metals onto its surface and hindered the penetration of heavy metal from entering the plant cells.
A Fuzzy Controlled SEPIC-ZETA Converter with Single Stage Operation for Application in Electric Vehicle
Authors:   Electrical and Electronics Engineering, Anurag Group of Institution, (Telangana) India., Kalapala Sheba , Nagamani C. ,   Professor ,Electrical and Electronics Engineering, Anurag Group of Institution, (Telangana) India., Kumar Dr.T.Anil ,   HOD, Electrical and Electronics Engineering, Anurag Group of Institution, (Telangana) India.
Published: November 2019

In this paper a SEPIC-ZETA power factor correction converter is introduced with fuzzy control for better performance. The controller of the converter is updated with 49 rule base fuzzy interface system with 7 membership functions in each input variable. The novel proposed converter operating modes are observed with change in switching states. For application a three-phase induction machine with inverter is connected to the proposed circuit. The characteristics of the converter and the machine are studied using MATLAB Simulink environment.