bluuebunny/crossref_metadata_2025 huggingface dataset:
Annual Reproductive Performance of Eisenia andrei and E. fetida 2 in Intra- and Inter-Specific Pairs and Lack of Reproduction of Isolated Virgin Earthworms
Authors: Podolak Agnieszka , Kostecka Joannaa , Hofman Sebastian , Osikowski Artur , Bigaj Janusz , Plytycz Barbara
Published: March 2020

Eisenia andrei/fetida complex of lumbricid earthworms contains E. andrei (Ea) and two mitochondrial lineages of E. fetida (Ef), referred to as Ef1 and Ef2. These earthworms are hermaphrodites capable of self-fertilization and hybridization as evidenced in laboratory
mated earthworms from Ea and Ef1 lineage of Ef. The aim of the present investigations was to compare reproductive performance of Ea and Ef2 lineage from French laboratory stocks reared for a decade in Polish laboratories. These were cultured either in isolation and/or in intra-specific or
inter-specific pairs for up to 57 weeks from hatching. Parental specimens and offspring were identified by species/lineage-specific sequences of the haploid mitochondrial COI gene, either 'a' or 'f2', and species-specific sequences of the nuclear 28s rRNA gene, either 'AA' or 'FF', thus delimitated
as aAA or f2FF for Ea or Ef2, respectively, or aAF for hybrids. Isolated virgin earthworms produced a few sterile cocoons only, more frequently in Ef2 than in Ea, but no hatchlings. Analysis of cocoon production and reproduction of laboratory-mated intra-specific Ea+Ea and Ef2+Ef2 pairs revealed
higher fecundity of Ea than Ef2 measured by numbers of cocoons and hatchlings, while inter-specific Ea+Ef2 pairs gave plenty cocoons but low numbers of aAF hybrids developed from Ea ova fertilized by Ef2 spermatozoa.
An Unusual Cause of Stridor After Decannulation of a Tracheostomised Patient
Authors: Kambhampati Sailaja , Yadav Meghana
Published: March 2020

Stridor is commonly seen post decannulation in a tracheostomised patient. Usually it occurs due to airway obstruction secondary to tracheal stenosis, granulation tissue, tracheomalacia. We report a rare case of stridor due to dynamic pharyngeal collapse after decannulation. A 68- year - old male who presented with inferior wall MI and Complete Heart Block had to be put on a mechanical ventilator for hemodynamic instability and subsequently tracheostomised. Post decannulation he developed stridor and breathlessness. CT scan of neck revealed a supraglottic narrowing which on bronchoscopy showed a dynamic collapsibility of supraglottic area. This dynamic collapse was treated with non invasive positive pressure ventilation.
Observational and Comparative Study of Utility of Transabdominal Ultrasound in Diagnosis of Mild Acute Gastritis
Authors: Balasaheb Jadhav Dr. Vikas Leelavati , Gandage Dr. S. G. , Khaladkar Dr. Sanjay M. , S. Kuber Dr. Rajesh
Published: March 2020

Background: Inflammation of the gastric mucosa is gastritis. It may be acute or chronic. It usually affects half of the world population. Acute gastritis is caused by medications, like, NSAID (Nonsteroidal Anti-Inflammatory Drugs) and Corticosteroids, viral infection, extreme stress, etc.
Aim and Objectives: To assess/evaluate the role of transabdominal ultrasound as an imaging modality for the diagnosis of acute gastritis and to study patterns of involvement of various layers of the stomach wall.
Materials and Methods: The thickness of the whole Stomach wall and individual layers were calculated in 20 normal individuals (Control) and 20 Patients of Gastritis, confirmed later on Endoscopy. Endoscopy was performed on the same or the next day after the Sonography.
A Case of Isolated Hemorrhagic Pleural Effusion: A Rare Presentation of Ovarian Hyperstimulation Syndrome (OHSS) – A Case Report
Authors: Kambhampati Sailaja , Sreekar M C V
Published: March 2020

Introduction: Ovarian hyperstimulation syndrome (OHSS) is a rare,life-threatening serious complication of ovulation induction with human chorionic gonadotropin (hCG). (4)
3% of patients undergoing IVF (in vitro fertilisation) develop OHSS. But radiologically evident pleural effusions develop only in 1% among which hemorrhagic effusions are very rare (1).
Pleural effusions due to OHSS are usually associated with ascites. Isolated unilateral pleural effusions are uncommon. (2,3)
The syndrome occurs in the luteal phase or during early part of pregnancy. The syndrome was first described in 1941 and the first fatal case of OHSS with renal failure and death was described in 1951.
KONTROL DIRI DAN PEMBELIAN IMPULSIF PAKAIAN PADA REMAJA PENGGEMAR K-POP
Authors: Sari Fitria , Handayani Nita Sri
Published: March 2020

Pada saat ini informasi sangatlah mudah untuk didapatkan. Remaja yang menggemari K-pop akan sangat tertarik dengan cara berpakaian yang dipakai oleh boy band ataupun girl band yang remaja sukai. Tercatat sebanyak 57% fans K-pop berada pada usia remaja, dan tercatat pula peningkatan pembelian impulsif pakaian yang dilakukan oleh remaja sebesar 61%. Oleh karna itu perilaku yang di miliki oleh remaja harus di imbangi dengan kontrol diri pada remaja. Penelitian bertujuan untuk menguji secara empirik hubungan kontrol diri dan pembelian impulsif pakaian pada remaja penggemar K-pop. Metode dalam penelitian yaitu, metode kuantitatif dengan teknik purposive sampling. Kemudian sampel dan populasi dalam penelitian ini adalah remaja penggemar K-pop di Bekasi, berjumlah sebanyak 160 responden dengan kriteria usia 12-22 tahun, berjenis kelamin laki-laki dan perempuan, sumber dana pembelian pakaian berasal dari uang orang tua atau sendiri. Berdasarkan hasil penelitian ini diketahui bahwa hipotesis diterima dengan nilai korelasi sebesar r = -0.724 (p < .05) yang berarti terdapat hubungan negatif antara kontrol diri dan pembelian impulsif pakaian pada remaja penggemar K-pop dalam penelitian ini. Hasil tersebut menunjukan bahwa semakin tinggi kontrol diri remaja penggemar K-pop maka semakin rendah pembelian impulsif pakaian ala K-pop.
PENGEMBANGAN APLIKASI E-HERITAGE BANTEN BERBASIS MOBILE VIRTUAL REALITY (STUDI KASUS: MASJID CARINGIN BANTEN)
Authors: Sumirat Pratama Agung , Andriansyah Miftah
Published: March 2020

Masjid Caringin merupakan salah satu bukti peninggalan sejarah di Banten yang dapat dijadikan pustaka digital sehingga masyarakat mengetahui tentang bangunan bersejarah. Perkembangan teknologi virtual reality membuka peluang dalam pembelajaran peninggalan bangunan bersejarah seperti masjid Caringin Banten menggunakan teknologi virtual reality. Penelitian ini bertujuan untuk membuat suatu aplikasi e-heritage menggunakan teknologi virtual reality dalam mengenalkan masjid Caringin Banten. Aplikasi dapat dijalankan di perangkat mobile berbasis Android. Pembuatan objek tiga dimensi menggunakan perangkat lunak Blender. Objek tiga dimensi yang dibuat pada penelitian ini yaitu menara, bangunan mihrab, makam, sumur, dan gerbang masjid. Pembuatan aplikasi virtual reality menggunakan Unity. Berdasarkan hasil pengujian blackbox, semua fungsi pada aplikasi dapat berjalan dengan baik di perangkat mobile berbasis Android. Spesifikasi minimum perangkat mobile sehingga aplikasi dapat berjalan dengan baik yaitu minimum RAM 1 GB, memiliki sensor gyroscope, versi Android Kit Kat 4.4, dan ukuran layar 4.5”. Hasil uji coba pengguna menunjukkan bahwa aplikasi berhasil dalam mengenalkan masjid Caringin Banten kepada pengguna.
ALGORITMA DECISION TREE PADA SISTEM PENYIRAMAN TANAMAN OTOMATIS BERBASIS INTERNET OF THINGS
Authors: Islami Firman Al
Published: March 2020

Perkembangan teknologi saat ini sangatlah penting untuk memungkinkanmanusia menggerakan atau mengontrol alat dari jarak jauh, karena denganadanya jaringan internet yang tersedia dengan internet of things. Smart homeatau rumah pintar yang penulis buat adalah dengan membuat penyiramantanaman yang di hubungkan melalui jaringan internet. Karena akan kesibukannyapenghuni rumah tidak dapat untuk memberikan air bagi tanaman,sehinga tanaman tidak dapat berkembang dengan baik. Untuk itu sistempenyiraman tanaman dibuat untuk membantu penghuni rumah dalam pemberianair bagi tanaman. Sistem ini terdapat tiga menu pilihan yang dapatdipilih oleh penghuni rumah yaitu mengecek kelembaban, menghidupkanpompa, mematikan pompa. Mengecek kelembaban berfungsi untuk memberikanpenyiraman otomatis ke tanaman sampai tanaman menjadi lembabmaka pompa akan berhenti. Jika penghuni rumah ingin melakukan penyiramansecara manual maka dapat memilih menu ke dua yaitu menghidupkanpompa dan menu ke tiga adalah mematikan pompa. Sistem penyiramantanaman tersebut mendapat responden baik atas kuesioner yang di ajukankepada penghuni rumah dengan pertanyaan apakah kelembaban yang ditampilkan website sudah sesuai, 100% menjawab sangat setuju. Sehingga kelembabanyang di tampilkan melalui sistem ini sudah sesuai dengan keadaantanah pada tanaman.
Human Computer Interaction Based on Hand Gesture
Authors:   Department of ECE, B V Raju Institute of Technology, Narsapur, Telangana, India., Patel* Jigar , U. Syed Abudhagir ,   Department of ECE, B V Raju Institute of Technology, Narsapur, Telangana, India.
Published: March 2020

Many hand-controlled robots are developed for visually impaired people in order to make them live confidently. This project work proposes a Human Computer Interactions with the help of gestures recognition wireless to help physically handicapped persons to move robot in desired direction lives. The project work is framed into three stages. First, gesture capturing and recognition – gesture capturing uses a laptop or pc camera that takes input from our hands and gesture recognition based on the finger count algorithm. Secondly, Transmission of data wireless – ZigBEE Module is used for serial transmission of data, Finally, Movement of Robot - The robot will move based on the fingers opened or fingers closed and displays the direction in laptop or pc in which direction the robot is moving. This project work can be able to insist the physically enabled people in their daily life. The entire process will run on Arduino Uno, ZigBEE Module, L293D Motor Driver
Design of IMC Tuned PID Controller for First Order Process with No Delay
Authors:   Research Scholar, Department of Electrical and Electronics Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India, Sarif* B. Mabu , Kumar D. V. Ashok ,   Professor, Dept. of EEE, Rajeev Gandhi Memorial College of Engineering & Technology, Nandyal, Andhra Pradesh, India, Rao M. Venu Gopala ,   Professor & Head, Department of Electrical & Electronics Engineering, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India
Published: March 2020

IMC tuned PID controller’s present excellent set point tracking but sluggish disturbance elimination, because of introduction of slow process pole introduced by the conventional filter. In many industrial applications setpoint is seldom changed thus elimination of disturbance is important. The paper presents an improved IMC filter cascaded with Controller PID tuned by internal model principle (IMC-PID) for effective elimination of disturbance and healthy operation of non-regular first order process such as processes with no delay. The suggested filter eliminates the slow dominant pole. The present study shows that the recommended IMC filter produces excellent elimination of disturbance irrespective of where the disturbance enters the process and provides acceptable robust performance to model disparity in provisions of maximum sensitivity in comparison with other methods cited in the literature. The advantages of the suggested technique is shown through the simulation study on process by designing the IMC tuned PID controllers to maintain identical robustness in provisions of maximum sensitivity. The integral error criterion is used to estimate the performance. The recommended filter produces excellent response irrespective of nature of the process.
Round Robin Load Balancer for Node Swarm Clusters Running a Chatting Service on the Cloud
Authors:   BTech Student in Computer Science and Engineering at Vellore Institute of Technology, Vellore, India., Jain* Tanmay , Raina Ayush ,   BTech Student in Computer Science and Engineering at Vellore Institute of Technology, Vellore, India., P Dr. Boominathan ,   Associate Professor, School of Computer Science and Engineering, Vellore Institute of Technology.
Published: March 2020

In this paper, we have created a chat application which uses socket programming for communication and all of the messages are saved in mongoDB. We have taken Docker application and hosted it on a three-node swarm cluster. This cluster uses Docker swarm technology to create a private network through which each of the nodes can talk to each other along a specified RPC port. The application runs in each node as a service and all load coming to the application has been balanced across three IP addresses in the swarm. This creates a distributed system and each node can act as a manager or a worker in the system. This technique helps to decrease the execution time to run servers on the cloud and can help improve the feasibility of online servers provided by the IT companies.
Software Defect Prediction Via Deep Learning
Authors:   Department of Information Technology, College of Computer, Qassim University, Saudi Arabia, Khan* Rehan Ullah , Albahli Saleh ,   Department of Information Technology, College of Computer, Qassim University, Saudi Arabia, Albattah Waleed ,   Department of Information Technology, College of Computer, Qassim University, Saudi Arabia, Khan Mohammad Nazrul Islam ,   Department of Computer Engineering, College of Computer, Qassim University, Saudi Arabia
Published: March 2020

Existing models on defect prediction are trained on historical limited data which has been studied from a variety of pioneering and researchers. Cross-project defect prediction, which is often reuse data from other projects, works well when the data of training models is completely sufficient to meet the project demands. However, current studies on software defect prediction require some degree of heterogeneity of metric values that does not always lead to accurate predictions. Inspired by the current research studies, this paper takes the benefit with the state-of-the-art of deep learning and random forest to perform various experiments using five different datasets. Our model is ideal for predicting of defects with 90% accuracy using 10-fold cross-validation. The achieved results show that Random Forest and Deep learning are giving more accurate predictions with compared to Bayes network and SVM on all five datasets. We also derived Deep Learning that can be competitive classifiers and provide more robust for detecting defect prediction.
Massive MIMO User Location Based Pilot Allocation in Massive MIMO Systems
Authors:   Dept of ECE, Vaagdevi College of Engineering, Warangal, Telangana, India., Martha* Shivaprasad , V* Dr. Sandeep Kumar ,   Dept of ECE, SR Engineering College, Ananthsagar, Hasanparthy-506371, Warangal, Telangana, India.
Published: March 2020

Aiming at the problem of massive MIMO pilot contamination, a user location information based pilot allocation scheme is proposed. The proposed scheme sorts the users and assigns pilots in accordance to the polar angle of the user's location in the polar coordinate system with the base station of the cell as the pole. The scheme combines the characteristics of the directional large line, and by controlling the reuse distance of the pilots in a relatively long range, the goals of reducing pilot contamination is improving system reachability and speed. Simulation results show that the proposed scheme not only effectively reduce pilot contamination among users, but also improves the performance gap between different users with the improved system fairness.
Inverse of K Regular Super Fuzzy Matrix
Authors:   Excel College of Engineering and Technology, Komarapalayam, Tamilnadu, India., Deepa* R. , Sundararajan Dr.P. ,   Assistant Professor, Department of Mathematics, Arignar Anna Govt. Arts College, Namakkal. Tamilnadu, India.
Published: March 2020

Fuzzy matrix (FM) is a rich topic in modeling uncertain situation occurred. Every FM can be visualized as a three dimensional figure, but this representation is not possible for classical matrix without any proper scaling. To overcome this problem we need a certain special classical fuzzy matrix. In this paper, the concept of inverse of k-regular fuzzy matrix is introduced and derived some basic properties of an inverse of k-regular fuzzy matrix. This leads to the characterization of a matrix for which the regularity indicator is equal. Further the connection between regular, k-regular and consistency of powers of fuzzy matrices are discussed.
Elementary Analysis of Bhasmas used as Ethnomedicine in Tribal Areas of Mayurbhanj Districts of Odisha, India
Authors:   Department of Zoology, Centurion University of Technology and Management, Odisha, India., Swain* Sitaram , Upadhyaya Tapasi ,   Department of Zoology, Centurion University of Technology and Management, Odisha, India.
Published: March 2020

Ayurveda is known as the oldest practice system in traditional medicine. This medicine system science is closely associated with social, psychological and spiritual with the living society. From ancient period, many works have been done and documented in Ayurveda and charaka Samhita. World Health Organisation reported that more than six billion people depend primarily on ethno medicine. Now it is considered as an important alternative therapy among known other practices. Animals and their by-products form important ingredients have been considered for the preparation of medicine. Since seventh century, Ayurvedic bhasmas are known in India for curing of many chronic ailments. Bhasmas are commonly known as ‘biological nanoparticles’ and it is derived from animal's derivatives through incineration. These bhasmas have been orally administered by mixing with honey to reduce the adverse effect of these drugs. In this study there six bhasmas and honey samples were taken for X-Ray fluorescence (XRF) spectroscopy analysis. Presence of these elements has showed their significance in therapeutically potent even in low doses. Now it has given novel health care look in Ayurved for tribal areas as well as modern society.
Design and Analysis of Remotely Amphibious Drone
Authors:   Department of Aerospace Engineering, Periyar Maniammai Institute of Science and Technology, Vallam, Thanjavur-613403, Tamil Nadu, India, Suresh* R. , Jasim A. Ahamed ,   Department of Aerospace Engineering, Periyar Maniammai Institute of Science and Technology, Vallam, Thanjavur, Nagdev O. R. Amal ,   Department of Aerospace Engineering, Periyar Maniammai Institute of Science and Technology, Vallam, Thanjavur, Sabin B. Binny ,   Department of Aerospace Engineering, Periyar Maniammai Institute of Science and Technology, Vallam, Thanjavur, Nagaraj V. ,   Department of Aerospace Engineering, Periyar Maniammai Institute of Science and Technology, Vallam, Thanjavur-613403, Tamil Nadu, India, Jeyasimman D. ,   Department of Mechanical Engineering, Periyar Maniammai Institute of Science and Technology, Vallam, Thanjavur-613403,Tamil Nadu, India
Published: March 2020

The amphibious drone is the drone that is capable to travel in both air and water. In order to move through water, buoyancy force needs to be balanced and it challenges the structural integrity, it must have a better communication system with more penetration and less attenuation of the signal. To overcome that challenge the radio signal and Acoustic communication are widely used in the amphibious drone. In underwater, we have difficulty to get a clear view of positioning, for that there will be a mini system installed on the drone that will automatically calculate and sets their tracks to find the position, depth and time of the system. To achieve better communication an extra ground station will be installed. For controlling the motions of the drone in an effective manner the microcontroller is used as a flight controller for transmitting and resaving the user data. the aluminum alloy is used in the amphibious drone to avoid structural damage. Based on the above consideration the amphibious drone has been developed and measuring their efficiency in both air and water, after experimentation this amphibious drone may be used for coastal rescue, surveillance, oceanographic research etc. The entire design and development of amphibious drone are in progress and testing to be done in the future.
Modification of Рolymer Wastes and Obtaining Com Comрosites Based on Them Annotation
Authors:   Department of Organic Substances and technology of macromolecular compounds chemical-technological facultyAzerbaijan State Oil and Industry University, Baku, Azerbaijan Baku, Kerem* Shixaliyev
Published: March 2020

The sources of scientific literature on the research have been investigated, various approaches to the processing and modification of polymers have been analyzed and the main direction of the study have been identified. The changes in the properties of thin layers of industrially produced low-density polyethylene (LDPE) grades 10803-20 and 16603-011 operating under different climatic conditions have been studied. It has been determined that changes with different intensities occur in the structure and in this connection in the physical and mechanical properties of LDPE that was in operation at different time intervals and in different climatic conditions of the Absheron Peninsula and the Aran region: melt flow index of polymer alloy, tensile strength at break, relative extension and values of other indicators are deteriorating. In polymer samples is formed 24,2 – 28,6% of insoluble phase and as a result of oxidation up to  12,3 – 16,8% carbonyl, hydroxyl and other functional groups.
Functional Organization of extraterrestrial underground base on Mars
Authors:   PhD of Architecture, Comparable to the academic degree of Doctor of Philosophy, Kyiv National University of Construction and Architecture, Kyiv, Ukraine, Praslova Valentyna , Ryabets Yuliya ,   PhD of Architecture, Comparable to the academic degree of Doctor of Philosophy, Kyiv National University of Construction and Architecture, Kyiv, Ukraine, Shchurova Viktoriia ,   PhD of Architecture, Comparable to the academic degree of Doctor of Philosophy, Kyiv National University of Construction and Architecture, Kyiv, Ukraine, Zinovieva Olena ,   PhD of Architecture, Comparable to the academic degree of Doctor of Philosophy, Kyiv National University of Construction and Architecture, Kyiv, Ukraine, Harbar Maryna ,   PhD of Architecture, Comparable to the academic degree of Doctor of Philosophy, Kyiv National University of Construction and Architecture, Kyiv, Ukraine
Published: March 2020

In the article relevant problems of colonization of other planets by mankind and development of extraterrestrial settlements are examined, in particular colonization of Mars and creation of Martian multifunctional base. Modern projects of leading space agencies for research and Mars colonization, shipping of equipment and the first settlers to the planet, and also projects of the first Martian habitats within the modern space technologies are discussed. In response to that natural and climatic conditions of the planet Mars which could substantially influence the formation and development of extraterrestrial multifunctional base are analyzed. Main natural and climatic factors such as high radiation background, absence of atmosphere, extreme temperature profile, low gravity, that have significant influence on formation of the Martian settlement on functional architectural and organizational levels are determined in the study. Functional model for establishment of an autonomic multifunctional base in extraterrestrial environment under the surface of the planet is proposed like the most fully satisfying the requirements for organization of extraterrestrial artificial environment for human's long-term stay considering extreme climate conditions of planet Mars and the desire to create comfortable conditions for livelihood of Martian pioneers. Basic blocks are determined and zones being parts of these blocks, which form the basis of the functional organization of extraterrestrial multifunctional complexes are detected. Possible options for functional connections between blocks and zones are analyzed.
Advanced Traffic Management System using a Fuzzy Logic Controller to Differentiate Parking Vehicle and Moving Vehicle
Authors:   Ph.D Research Scholar - Mother Theresa Women's University and Faculty, Department of Computer Science, Kristu Jayanti College, Bangalore., Peter* Mary N , Rani Pushpa ,   Professor and Chairperson, Department of Computer Science of Mother Teresa Women’s University, India
Published: March 2020

In smart cities, traffic congestion is one of the significant problems for citizens. Traffic management is an essential one for the quick development of populace and urban movement in metropolitan areas, and traffic blockage is often seeming on streets. To handle different issues for managing traffic on the streets and to help experts in inappropriate arrangement, a smart traffic management system with the IoT (Internet of Things) is proposed in this paper. Mechanisms to utilize IR sensors to distinguish traffic density isn't easy as smooth a solo vehicle recognized at the last sensor so that it can suggest traffic density in high in any event, even if there is free space before it. A technique to be proposed to solve the previously mentioned issues efficiently is by utilizing the Internet of things for traffic management systems. This paper aims to propose a Fuzzy controller to deal with traffics in smart cities. Fuzzy induction used to compute exact traffic, which separates the parking vehicle and moving vehicle. There is an issue of separating parking and un-parking vehicles in the existing systems. So, we planned to solve this using fuzzy logic.
Effect on Quality of Cement Mortar by I nclusion of Nano Particle of Zinc Oxide
Authors:   pursuing B.Tech + M.Tech (integrated course) from ITM University, Gwalior., Birthare* Avinash , Pandey Dr Mukesh ,   professor, Department of Civil Engineering, ITM University Gwalior, (M.P),, Agarwal Sohit ,   Associate professor in the Department of Civil Engineering at ITM University, Gwalior.
Published: March 2020

Now days, there are so many new nano-technologies and methodologies are developed on the field of construction. These days, there is a swiftly rising concern especially using Nano-particles in Portland Pozzolana cement (PPC) concrete to improve the overall properties. The upper layer area of Nano-particles gives more chemical reaction at the subject to gives improved properties and capacities. Complete experiment the mixture of PPC- mortar with Nano-particles, ZnO with diameter of 50-60 nm of compressive-strength are investigated. ZnO have good physical and chemical properties such as dissolve in most of acids, reducing void ratio, availability in different crystalline forms gives enhanced mix of mortar. The principle reason for this investigation prepare a blended mortar with improved mechanical properties. The impacts of nano particles on the qualities such as compressive strength of mortar were experimentally investigated. The blended cement consists of Portland Pozzolana cement (PPC) and nano zinc oxide (NZnO) particles are used. The blended cement given in this investigation consists of Por PPC-cement and NZnO particles. The cement is moderately replaced with NZnO of 0, 0.5, 1, and 1.5 % by PPC cement. The mixture of cement, sand and water was prepared by the ratio of 1:2 and 1:3 of cement-sand by weight with water – binder ratio of 0.35. The strength of cement mortar will be measured after 7, 14 and 28 days. By adding NZnO, we can get good strength values of concrete more than usual strength values we got approximately 18%, of more strength by replacing 1.5% of cement by weight and also there is minimum usage of water with using super plasticizer.
Effect of Supply Chain Integration on Companies’ Competitive Advantage
Authors:   Assistant Professor, Mittal School of Business, Lovely Professional University, Phagwara, India., Singh Maninder , Sharma Dr. Sanjeev. K. ,   Professor, UIAMS, Panjab University, Chandigarh, India., Chadha Dr. Suresk. K. ,   Professor, UBS, Panjab University, Chandigarh, India.
Published: March 2020

The lack of implementation of SCI in construction companies is one of the major cause that these companies does not gain competitive advantage in this competitive world. SCI is calculated on various variables. The main aim of this study is to find the effect of Supplier Partnership and Logical Integration as the major variable related to supply chain over Competitive Advantage. Initially the questionnaire was checked for validity and reliability. Then SEM is applied using smartPLS software. Correlation reported that Strategic Partnership is having moderate positive and Logical Integration is having high positive relation with Competitive Advantage. And regression reported that overall SCI is having a strong and positive relation with Competitive Advantage. Further research is advised as this study was having limitations.
Earthquake and Tsunami Alert Through GSM Network
Authors:   Associate Professor, Electronics and Communication Engineering, Karpagam College of Engineering – Coimbatore, V Dr. Saminathan , S Harikrishnan ,   Electronics and Communication Engineering, Karpagam College of Engineering – Coimbatore, P Karthik ,   Electronics and Communication Engineering, Karpagam College of Engineering – Coimbatore, V Sudharson ,   Electronics and Communication Engineering,Karpagam College of Engineering – Coimbatore, J Vimalkishore ,   Electronics and Communication Engineering,Karpagam College of Engineering – Coimbatore
Published: March 2020

The earthquake and tsunami are dangerous natural disasters that are unpredictable, which causes damage to lives and property. It happens all of a sudden, but we can alert from it. In this modern world, many modern technologies can easily analyze the small vibrations and knock so that we can take the necessary precautions. The usage of accelerometer ADXL335 paves the way to sense the earthquake vibrations and tsunami seismic waves in all three axes. This project setup includes the LoRa and GSM module in addition to the accelerometer. Hence, it acts as a perfect shield because it gives a warning, vibration graph on the computer and spread the warning via messages.
Designing E-learning Application to Enhance Education Effectiveness for PELNI Medical Center
Authors:   Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta, Sfenrianto* Sfenrianto , Angriawan Kevin ,   Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta, Aziz Rahmat Ivan ,   Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta, Sugiyono Teguh ,   Information Systems Management Department, BINUS Graduate Program – Master of Information Systems Management, Bina Nusantara University, Jakarta
Published: March 2020

PELNI Medical Center is one of the oldest Medical Centers in Indonesia which in 2018 is already 100 years old. In providing good health services to the community, PELNI Medical Center also conducts education and training processes for its employees. The current training is conventional training, where the time and place of training can change because it adjusts to the conditions of existing services and patients. Besides, the costs required are quite a lot to meet the needs of the training that is held. Therefore, PELNI Medical Center wants an e-Learning system as a learning medium to overcome these problems and can facilitate the education and training process. The design of the e-Learning system is built using the method of designing Object-Oriented Analysis and Design with the Unified Process. As for the data collection techniques used, namely interviews and questionnaires. The expected results of the design of this e-Learning system are that it can be used as an educational medium in the education and training process at Pelni Medical Center, increase the ability of knowledge and independent learning in each of its users, and can facilitate the improvement and storage of learning materials applied at the PELNI Medical Center.
Detection of Aflatoxin i n Food Products u sing UV Fluorescence Spectroscopy
Authors:   Assistant professor of Information technology in SRM IST,Chennai,Tamil Nadu,India., Chandraleka T. , Abinayaa S. ,   Assistant professor of Information Technology in SRM IST,Chennai,Tamil Nadu,India., Rathour Anshu ,   Department of Information Technology,SRM IST,Chennai,Tamil Nadu,India., Mahalakshmi Arthi ,   Department of Information Technology,SRM IST,Chennai,Tamil Nadu,India., Heema Chinnerikuppam ,   Department of Information Technology,SRM IST,Chennai,Tamil Nadu,India
Published: March 2020

Aflatoxins are found in food items and are treated as essential to food security issue. Aflatoxins are poisonous toxins which are found in various feed products and are very dangerous for humans and animals as well. These are not the products which cause immediate liver cancer or the liver damage but instead grow slowly in the human body. They are also a type of fungal toxins can only be noticed in costly machines with the use of UV fluorescence spectroscopy. These are mostly found in peanuts,corn,maize and broken rice. Aflatoxins are never found in freshly released products, rather they are formed because of the moisture found in the atmosphere around.Aflatoxin-B1 when present in food products undergoes the process of fluorescent spectroscopy .Here the UV rays are excited to 365 nm for single photon and 730 nm for bi photon. Basically the results for the range of 400 and 550 nm is considered as the most contaminated of the food product. For every wavelength when photons are excited ,the inward florescent signals are to be noted and observed. Based on the wavelengths of the excitation signal we can distinguish between the hygienic and impure food samples .There would be largest difference of wavelength between single and bi photon fluorescence values. The similarity between the florescent signals of the samples of different food products would define the impure samples. Thus UV fluoroscence spectroscopy is very essential for measuring the aflatoxin B1 present in various food products.
Pedagogical Innovation and Methodology of Education in the Field of Information and Communication Education in Ukraine
Authors:   Department of Documentary and Information Activities, State University of Telecommunications, Ukraine., Storozhenko L. , Sheremeta O. ,   Department of Documentary and Information Activities, State University of Telecommunications, Ukraine., Petkun S. ,   Department of Documentary and Information Activities, State University of Telecommunications, Ukraine., Vanovska I. ,   Department of Linguistic Research, Taras Shevchenko National University of Kyiv, Ukraine.
Published: March 2020

The purpose of the article is to study the genesis, development and current state of information and communication models of education; the selection of the main types of information and communication paradigms, analysis of their shortcomings and advantages, the main principles. The paper describes the discussion issues concerning the issues of information and communication education in the historical section of the second half of the XX – the beginning of the XXI century. The methodological basis of the study consists of the historical-comparative method, methods of analysis and synthesis. To theoretical and methodological tools, we can also cite systemic and synergetic approaches. The scientific novelty lies in the fact that the question of the history of formation, the dynamics of development and the current state of information and communication education in Ukraine and in the world remains open today. Relevance, high social significance, the innovation of the formulated problem and its lack of elaboration led to the necessity of its conceptual and systematic study, therefore this scientific development concerning this problem is extremely important. The study first observed the formation, development and current state of information and communication educational models. The cultural dynamics of modern society urgently require a radical transformation of the educational system, its correlation with the needs of a new information age. These requirements prove the necessity of a global modernization of the education system, which today, as a mode of spiritual culture, does not meet the requirements of the new information order, in which education is determinative.
Interconnected IoT Architectural Platforms and Applications
Authors:   School of Electrical Engineering, KIIT Deemed to be university, Bhuboneswar, India., Debdas* Subhra , Kundu Priyasmita ,   School of Computer Science Engineering, KIIT Deemed to be university, Bhuboneswar, India., Aditi Divyashree ,   School of Computer Science Engineering, KIIT Deemed to be university, Bhuboneswar, India.
Published: March 2020

Future technology totally based on smart automation and smart information transfer. Internet of Things makes a bridge communication from appliances and industry to smart automation. Sensors of Internet of Things records the physical data from the appliances and industry and transfer accordingly for analytic and decision processing. Next in line to advancements, for example, RFID and Wireless Sensor Networks, the Internet Of Things has unearthed bolt upright interconnection of restrictive frameworks. IoT depicts the future condition of the interconnected network between these storehouses, empowering the revelation of tangible sensors and elucidation of data transfer amidst the things. This paper comes up with a schematic path and network empowerment to give the interconnections among different frameworks and platform based data transmission technology and information management.
Driver Drowsiness Detection System Based on Eyes u sing Canny Edge Detection Algorithm
Authors:   Department of Computer Science, University College of Science, Tumkur University, Tumakuru, India., B.M* Dr. Kusuma Kumari , P Dr. Ramakanth Kumar ,   Department of Computer Science and Enginerring, R.V. College of Engineering, Bengaluru, India., Mukundappa Dr. B.L. ,   Department of Computer Science, University College of Science, Tumkur University, Tumakuru, India.
Published: March 2020

Driver drowsiness is the main issue in an ample of vehicle accidents. Annually hundreds of people lose their life or get seriously injured because of sleepiness of the drivers while driving. In this paper, we are mainly concentrated on eyes and Viola Jones algorithm has used to find the Face detection. The eyes are found using the Haar-like features. If the eyes are open then the Iris detected using Canny edge detection with circles drawn on the Iris using Circular Hough Transform algorithm if the driver is alert then two circles appear around the eyes otherwise warning message is displayed to the driver with an alarm signal.
Automated Gross Cutting i n Farming Sector u sing Robotics a nd I OT
Authors:   Information Technology, Kongunadu College of Engineering and Technology, Thottiam, Trichy, India., Simonthomas* S. , Karthik G. ,   Information Technology, Kongunadu College of Engineering and Technology, Thottiam, Trichy, India., Kalaivanan S. ,   Information Technology, Kongunadu College of Engineering and Technology, Thottiam, Trichy, India., Mythili M. ,   Information Technology, Kongunadu College of Engineering and Technology, Thottiam, Trichy, India.
Published: March 2020

Robotics is the human interface machine used for fulfill the desired work where human efforts are low. In General the design of a robot involves various types of analyses that invariably include structural, dynamic, kinematic and numerical experiments. A robot designed for weeding problems would have to consider the stages of plant growth. Initially prescribed description of the framework for proposed robot is provide the simplicity along with the known parameters of design. The primary design parameter of the robot and cutting mechanism establishes certain geometric and structural constrains on the design the worm gear, worm and blades which is attached with motors for comprising the cutting mechanism of the robot. This relationship is studied in order to improve the speed of cutting the weeds by image processing of camera for the differentiation of the weeds and plants by the robot. A significant reduction in size is achieved by working on these variables which leads to the improvement in the functional aspects and reduces the innovation of bigger machine used for these weeding purposes in modern world. There are 3 motors in which 2 motors are used for movement and 1 motor is used for actuating the cutting mechanism. This whole mechanism is controlled by Arduino UNO controller and MatLAB software. Arduino UNO controls the movement of the robot and the MatLAB software controls the differentiation of the plants and the weeds depending on the task allocated to the robot.
Computational way of Classifying Thyroid Disorder Patients and Identifying the Similar Patients using a Novel Method
Authors:   Research Scholar, PG and Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, Tiruchirappalli, Tamil Nadu, India., Jamuna* S. , Kumar Dr. K. Mohan ,   Head, PG and Research Department of Computer Science, Rajah Serfoji Government College, Thanjavur, Affiliated to Bharathidasan University, Tiruchirappalli, Tamil Nadu, India.
Published: March 2020

The thyroid hormones secreted by thyroid gland are interrelated with many metabolic processes of our body. Any dysfunction of thyroid gland leads to thyroid diseases. Hypothyroidism and hyperthyroidism are the very common thyroid disorders which affect the large number of people nowadays. Prediction of thyroid diseases at right time and giving suitable medicines to the patients help them to overcome the health problems. A machine learning technique will definitely assist the physicians for the prediction and treatment of thyroid diseases. In this work, the datasets are taken from UCI repository and Fuzzy- C Means algorithm is used for the clustering the thyroid diseases.
Implementation of MODWT on Real Time Power Quality Disturbance Signal
Authors:   Department of Electrical and electronics Engineering, Sambalpur University Institute of Information Technology, Sambalpur, India., Upadhyaya* Swarnabala , Panda Ambarish ,   Department of Electrical and electronics Engineering, Sambalpur University Institute of Information Technology, Sambalpur, India
Published: March 2020

Maximal overlap discrete wavelet transform (MODWT) is the upgradation of traditional wavelet transform (WT), has been employed for localization of different power quality disturbance signal (PQDS). Every signal has been break down up to fourth level to localize the disturbances. The co-efficient of MODWT have been again employed for classification. The selected indices have been obtained utilizing the detail coefficient of this variant of WT. These features are the inputs to the data mining classifier. Decision Tree (DT) have been implemented for discrimination of PQ disturbance signals. Various PQDS have been generated in noisy and noise free climate. Besides this, the aforementioned techniques is examined with three phase signals bring out from transmission line panels.
An Optimal Receive Antenna Selection Algorithm using GA in MIMO Communication System
Authors:   Associate professor, Department of CSE, Vignan Institute of Technology and Management, Berhampur, Ganjam, Odisha, Padhy Dr. Sasmita , Tripathy Dr. Satya Narayan ,   Assistant Proffessor, Department of Computer Science, Berhampur University, Odisha., Kapat Er. Sisira Kumar ,   Lecturer, Department of CSE/IT, Uma Charan Patnaik Engineering School, Berhampur, Odisha, Das Dr. Susanta Kumar ,   Reader, Department of Berhampur University, Odisha
Published: March 2020

MIMO technology offers large improvements in data transfer and connection range no bandwidth extra or processing potential in wireless communication,. Multiple transmitters and receivers are used to simultaneously transfer enormous amounts of data. Using many antennas transmitting and receiving, efficiency can be enhanced for wireless communication systems operating in fading environments. But the key downside in the new MIMO scheme, due to multiple Radio Frequency chains, is increased complexity and high cost. A daunting incentive is the development of techniques to reduce hardware and computing costs of the systems with a huge amount of antennas. The optimum selection of the receiver antenna subset is a very effective approach to achieving this goal. Genetic algorithm is used in this paper to choose the receivers from the available set of antennas that would then be compared with an existing receiving antenna selection process.
Detection and Recognition of Paddy Plant Leaf Diseases using Machine Learning Technique
Authors:   pursuing M.Sc. in Computer Science and Engineering at Daffodil International University, Dhaka, Bangladesh., Parven* Nargis , Rashiduzzaman Muhammad ,   Research Associate, Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh, Sultana Nasrin ,   pursuing M.Sc. in Computer Science and Engineering at Daffodil International University, Dhaka, Bangladesh., Rahman Md. Touhidur ,   Assistant Programmer, Department of Computer Science and Engineering, University of Dhaka, Dhaka, Bangladesh., Jabiullah Md. Ismail ,   Professor, Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh.
Published: March 2020

Rice is one of the important food crops and the most staple food for half of the world population. Farmers are often faces several obstacles in paddy production because of various paddy leaf diseases. As a result, rice production is extensively reduced. For finding the paddy plant leaf diseases, there are many techniques are available in the computer vision-based area. Now, it is the main concern to fast and accurate recognition of paddy plant diseases in the initial stage. For this reason, we proposed a better approach for early paddy plant leaf disease detection by using simple image processing and machine learning techniques. There are four types of paddy leaf diseases are highlighted in this paper; which are Brown Spot, Sheath Blight, Blast Disease and Narrow Brown Spot. To do this, at first the required normal and diseased paddy plant leaf images are captured directly from different paddy fields. The unnecessary background of the leaves images are eliminated by using mask in the pre-processing section. Then output is fed into the segmentation part where K-means clustering is used to separate the normal portion and diseased portion of the leaf images. Finally, the mentioned diseases are classified using Support Vector Machine (SVM) algorithm. The accuracy of the system is 94%. This technique can be also applied anywhere in the agriculture industry for plant leaf diseases detection.