bluuebunny/crossref_metadata_2025 huggingface dataset:
MANAGEMENT OF WASTE WATER TO VERMICELLI PRODUCTION IN DONG THO VILLAGE, THAI BINH, VIETNAMT PROTECTION FOR DONG THO VILLAGE IN THAI BINH PROVINCE, VIETNAM
Authors: Oanh Phạm Thị Tố
Published: April 2020

Đông Thọ là một xã thuộc thành phố Thái Bình, tỉnh Thái Bình. Với nghề phụ chủ yếu là sản xuất miến dong. Đặc trưng ô nhiễm của Đông Thọ là nước thải sản xuất. Các chỉ tiêu ô nhiễm như TSS, COD, BOD5 đều cao hơn tiêu chuẩn QCVN 40: 2011/ BTNMT. Đặc biệt, TSS cao hơn 5,8 lần, COD cao hơn 1,7 lần và BOD cao hơn 3,28 lần tiêu chuẩn cho phép. pH chỉ đạt 5,3. Ngoài ra, kết quả nghiên cứu đánh giá mức độ ô nhiễm dựa trên cả phỏng vấn người dân. Các phương pháp sử dụng trong nghiên cứu là thu thu thập, tổng hợp số liệu; điều tra, khảo sát thực địa; phân tích trong phòng thí nghiệm; thống kê, xử lý số liệu; bản đồ.Với thực trạng ô nhiễm hiện nay tại làng nghề sản xuất miến Đông Thọ, đồng thời nhận thức của người dân địa phương cũng như chính quyền địa phương, nghiên cứu này nhằm đưa ra một số giải pháp trong quản lý và công nghệ xử lý nước thải bằng biện pháp sinh học. Xử lý sinh học là biện pháp phù hợp đặc điểm ô nhiễm tại khu vực nghiên cứu, có tính khả thi cao nhằm hỗ trợ trong quản lý, phòng ngừa và giảm ô nhiễm môi trường của nước thải phát sinh trong quá trình sản xuất, cải thiện môi trường làng nghề.
USING TED TALKS TO ENHANCE PRESENTATION SKILL FOR THE 1ST YEAR ENGLISH MAJORS AT THAI NGUYEN UNIVERSITY OF EDUCATION
Authors: Chuyên Nguyễn Thị Hồng , Trà Trần Thị Thu , Trang Nguyễn Thị Hoàng
Published: April 2020

Trong thời kỳ công nghiệp hoá, hiện đại hoá đất nước, với chính sách đổi mới và chính sách mở, hội nhập quốc tế của Đảng và Nhà nước, kỹ năng thuyết trình, đặc biệt là kỹ năng thuyết trình tiếng Anh đóng một vai trò rất quan trọng. Kỹ năng thuyết trình hiệu quả là một phần của giao tiếp. Tất cả các kỹ năng thuyết trình giúp định hướng quan điểm và giải thích về những thành tựu một cách có hiệu quả nhất. Đó là lý do tại sao kỹ năng thuyết trình đóng vai trò rất quan trọng trong cuộc sống, sự nghiệp và trong kinh doanh. Mục tiêu của nghiên cứu này là điều tra hiệu quả của việc sử dụng TED Talks như một công cụ học tập giúp học sinh năm nhất trường Đại học Sư phạm – Đại học Thái Nguyên nâng cao kỹ năng thuyết trình tiếng Anh. Cách học tập này sử dụng các video của TED Talks làm tài liệu học tập để khuyến khích học sinh đạt được kết quả tốt hơn trong thuyết trình. Trong khi đó, nhằm tìm ra những khó khăn mà ảnh hưởng đến kỹ năng trình bày của học sinh và kết quả của việc sử dụng TED Talks để giúp sinh viên nâng cao kỹ năng thuyết trình. Đối tượng nghiên cứu là sinh viên năm nhất chuyên ngành Sư phạm Tiếng Anh tại Trường Đại học Sư phạm – Đại học Thái Nguyên, trong cùng một nhóm tuổi 18-19 tuổi. Thông qua việc áp dụng phương pháp phân tích của sinh viên, nghiên cứu đã thu thập các lỗi thuyết trình mà sinh viên gặp phải và đề xuất các giải pháp để cải thiện các lỗi đó. Những phát hiện của nghiên cứu sẽ hữu ích cho sinh viên chuyên ngữ năm nhất tại Trường Đại học  Sư phạm – Đại học Thái Nguyên nói riêng cũng như sinh viên chuyên ngành tiếng Anh nói chung.
TRAINING HISTORY TEACHERS AT PEDAGOGICAL UNIVERSITIES FROM THE ORIENTATION OF IMPROVING STUDENTS’ CAPACITY TO SATISFY THE NEW PROGRAM OF HIGH SCHOOL EDUCATION – A VIEW FROM THE EXPERIENCES OF THE REPUBLIC OF FRANCE
Authors: Hạnh Hoàng Thị Mỹ , Ninh Nguyễn Văn
Published: April 2020

Hiện nay, Bộ Giáo dục và Đào tạo đang xúc tiến cải cách giáo dục phổ thông. Trọng tâm của cuộc cải cách giáo dục lần này là chuyển từ dạy học theo hướng tiếp cận nội dung sang hướng tiếp cận năng lực người học. Để đáp ứng cuộc cải cách này, vấn đề đào tạo giáo viên (kể cả đào tạo lại) giữ vai trò quyết định sự thành bại. Trong bối cảnh đó, việc học tập kinh nghiệm đào tạo giáo viên ở các nước có nền giáo dục tiên tiến trên thế giới, trong đó có nước Cộng hòa Pháp, là việc làm có ý nghĩa khoa học và thực tiễn. Xuất phát từ yêu cầu đó, bài viết này sẽ tập trung giải quyết 3 vấn đề: Mô hình đào tạo giáo viên lịch sử của Pháp; Mô hình đào tạo giáo viên của Việt Nam hiện nay; Một số khả năng vận dụng ở Việt Nam từ kinh nghiệm nước cộng hòa Pháp. Bài viết sử dụng hai phương pháp chính là phương pháp lịch sử và phương pháp lôgic. Ngoài ra, nhóm tác giả còn sử dụng các phương pháp phân tích, so sánh, tổng hợp để làm rõ vấn đề nghiên cứu.
TRANSLATION OF ENGLISH-VIETNAMESE FILM SUBTITLES IN SOME POPULAR MOVIES
Authors: Yến Dương Hồng , Quyên Vũ Thị
Published: April 2020

Với nhu cầu học tiếng Anh ngày càng cao ở Việt Nam, đặc biệt là thông qua các bộ phim tiếng Anh, dịch phụ đề phim đã trở thành một công việc tốt nhưng cũng đòi hỏi khắt khe. Với mục đích nghiên cứu các chiến lược dịch thuật đã được sử dụng để dịch phụ đề phim Anh-Việt và đưa ra một số gợi ý cho dịch phụ đề phim, bài báo này tập trung khai thác năm bộ phim phổ biến trên trang web www.studyphim.vn để phân tích: “Kỷ Băng hà: Băng tan”, “Những người bạn”, “Vượt ngục”, “Biệt đội siêu anh hùng: Đế chế Ultron”, và “Người Hobbit: Hành trình vô định”. Tác giả đã xem và so sánh phụ đề tiếng Anh và tiếng Việt của những bộ phim này để tìm hiểu về quy trình và chiến lược dịch được sử dụng, dựa trên khung lý thuyết được điều chỉnh từ các lý thuyết về dịch thuât của Newmark và Baker. Kết quả phân tích cho thấy các quy trình và chiến lược dịch thuật chủ yếu đã được sử dụng như sau: dịch nguyên văn, dịch dựa trên phiên âm, dịch nghĩa tự nhiên, sao phỏng, dịch đổi chức năng ngữ pháp, ghi chú, dịch sử dụng từ ngữ trung lập hơn, dịch bằng cách diễn giải một từ liên quan hoặc nhiều từ không liên quan, dịch dựa trên khác biệt văn hóa, dịch lược bỏ, sử dụng ngữ cố định và thành ngữ. Bên cạnh đó, nghiên cứu cũng cho thấy bản dịch phụ đề của các bộ phim được thu thập vẫn còn khá nhiều lỗi và cần được chỉnh sửa. Tác giả hi vọng nghiên cứu này sẽ góp phần làm phong phú cở lý luận cho các nghiên cứu tiếp theo về dịch phụ đề phim.
AGRICULTURAL ECONOMIC STRUCTURE TRANSFORMATION IN PHO YEN TOWN, THAI NGUYEN PROVINCE
Authors: Dưỡng Ngô Văn , Tâm Nguyễn Văn , Hòa Hà Thị , Hưởng Trần Nho
Published: April 2020

Nghiên cứu được thực hiện nhằm đánh giá thực trạng và đề xuất các giải pháp nhằm chuyển dịch cơ cấu kinh tế nông nghiệp trên địa bàn thị xã Phổ Yên, tỉnh Thái Nguyên. Nghiên cứu sử dụng phương pháp thống kê mô tả, phương pháp so sánh và phương pháp phân tích SWOT. Kết quả nghiên cứu cho thấy cơ cấu kinh tế nông nghiệp trên địa bàn thị xã Phổ Yên, tỉnh Thái Nguyên chuyển dịch theo hướng tích cực, giảm dần tỷ trọng trồng trọt, tăng dần tỷ trọng chăn nuôi và dịch vụ. Tổng nguồn vốn đầu tư cho phát triển nông nghiệp tăng mạnh, năm 2017 nguồn vốn tăng 3,49% so với năm 2016; năm 2018 mức tăng lên đến 82,78%. Nghiên cứu cũng đề xuất bốn nhóm giải pháp nhằm đẩy mạnh chuyển dịch cơ cấu kinh tế nông nghiệp trên địa bàn thị xã Phổ Yên, gồm: Nâng cao chất lượng công tác quy hoạch; Thực hiện hiệu quả chính sách đất đai; Hoàn thiện cơ chế, chính sách khuyến khích, hỗ trợ phát triển sản xuất và thực hiện tái cơ cấu ngành nông nghiệp; Phát triển bền vững công nghiệp và dịch vụ hỗ trợ thúc đẩy chuyển dịch cơ cấu kinh tế nông nghiệp theo hướng đô thị hóa.
Positive and Limiting Aspects in the Work of Health Professionals in Prison Units
Authors: Souza Brito Lana Jocasta de , Leal Laura Andrian , Chaves Lucieli Dias Pedreschi , Bragança Cléria , Henriques Silvia Helena
Published: April 2020

This study aims to analyze the positive and limiting aspects in the work of health professionals in federal prison units. This is a descriptive exploratory qualitative study. The information was collected through semi-structured interviews with professionals from federal prison units, between the months of June and October 2018. The positive aspects related to work found in the results were: salary recognition and job stability; good interpersonal relationships with colleagues in the workplace; low activitydem and in prison units; flexible work hours; and provision of adequate physical and material resources. The limiting aspects are: lack of professional recognition and appreciation; divergence between work performed and professional activity; violence, fear and appearance of health problems at work.
TANITIM FAALİYETLERİNİN TURİZM ÜZERİNE ETKİSİNİN ANALİZİ: ARDL MODELDEN KALINTILAR
Authors: LİCELİ Mehmet Tahsin , İLBAN Mehmet Oğuzhan
Published: April 2020

Türkiye turizm gelirleri ve gelen turist sayısı
açısından son yıllarda dünya sıralamasında üst sıralarda olma başarısı
göstermiştir. Bu duruma bağlı olarak Kültür ve Turizm Bakanlığı belirlenen
bütçe çerçevesinde tanıtım faaliyetleri yürütmektedir. Çalışmanın amacı da
Türkiye’nin tanıtım bütçelerinin, turizm geliri ve gelen turist sayısı üzerinde
bir etkisinin incelenmesidir. Çalışmada 1984-2017 dönemi Türkiye’nin turizm
tanıtım bütçeleri, gelen turist sayısı ve turizm gelirlerinin yıllık verileri
incelenmiştir. Yöntem kısmında Peseran v.d. (2001) ARDL sınır testi, uzun dönem
eşbütünleşme katsayıları tahmini kullanılmıştır. Analiz sonucuna göre
Türkiye’nin tanıtım bütçelerinin uzun ve kısa dönemde turizm gelirleri ve
turist sayısı üzerinde etkisinin olduğu saptanmıştır. Yapılan analizlerde kısa
dönem hata düzeltme katsayıları negatif ve istatistiki olarak anlamlıdır.
Analiz sonucunda Türkiye’nin tanıtım bütçelerinin turizm geliri ve gelen turist
sayısı üzerinde pozitif bir etkisi olduğu görülmektedir.
LEVANTAMENTO ENTOMOLÓGICO DOS VETORES DA DOENÇA DE CHAGAS DIAGNOSTICADOS NO MUNICÍPIO DE MOSSORÓ, ESTADO DO RIO GRANDE DO NORTE
Authors: Vinícius de Oliveira Ismael , Carla Diógenes Suassuna Bezerra Ana
Published: April 2020

OBJETIVO: O objetivo da pesquisa foi descrever um levantamento entomológico de vetores da Doença de Chagas diagnósticados no município de Mossoró, Estado do Rio Grande do Norte. MÉTODO: O levantamento dos vetores foi realizado durante o período de cinco anos. Com a coleta realizada pelos moradores em distintos bairros, com relatos no domicílio e peridomicílio realizado em busca ativa eventual. Todos transportados vivos ao laboratório da universidade para diagnóstico do vetor e pesquisa de positividade para presença do protozoário Trypanosoma cruzi. RESULTADO: Foram diagnosticados um total de 62 barbeiros, entretanto 42 foram identificados como predadores Cosmoclopius nigroannulatus e 20 (vinte) hematófagos sendo 50% (10/20) Triatoma pseudomaculata, 25% (5/20) Triatoma brasiliensis e 15% (3/20) Rhodnius nasutus e 10% (2/20) do gênero Triatoma porém sem possibilidade de identiifcação até espécie. Dos hematófagos 100 % (20/20) estavam negativos para diagnóstico de T. cruzi. CONCLUSÃO: No levantameno entomológico verificou-se o diagnóstico de vetores da Doença de Chagas na região domiciliar e peridominiliar. O que torna a região área de risco para patologia na região.

Palavras chave: Patologia; Risco Biológico; Triatominae.
Algae fouling of solid substrates and hydraulic structure in The Black sea (The Cape Martyan)
Authors: I.K. Evstigneeva , V.P. Evstigneev , I.N. Tankovskaya
Published: April 2020

The species composition and ecology-taxonomic structure in periphyton and benthic algocenoses of the «Cape Martyan» reserve during in winter period are described. Macrophytobenthos includes 26 species of macroalgae of 21 genera genus, 15 families, and 11 orders of three divisions. The species proportion of the divisions indicates a dominant role of Rhodophyta in the formation of a community on a natural substrate. Macrophytoperiphyton is represented by 36 species of 27 genera, 17 families and 14 orders of three divisions, with dominating Rhodophyta. The features of macrophytobenthos and macrophytoperiphyton are the absence of indicators of the desalination of the aquatic environment, the high development of leading, annual, marine, brackish-sea, mesosaprobic and oligosaprobic algae are leading among the ecological groups. A set of common features of macrophytoperiphyton in different parts of a hydraulic structure has been established. It is shown that fouling is capable of changing in space even within the same hydraulic structure, acquiring features characteristic of algae of each of its sides. Comparison of algocenosis of benthos and periphyton of the same area revealed that they have similar and specific features, which testifies to the objectivity of cenosis of different life forms, but with a common origin and complementary features that ensure the successful functioning of the coastal ecosystem.
Weed Detection and Removal based on Image Processing
Authors:   M.Tech Student, Department of Electronics and Communication Engineering, Mar Athanasius College of Engineering, Kothamangalam, India., Johnson Rincy , Mohan Thomas ,   Assistant Professor, Department of Electronics and Communication Engineering, Mar Athanasius College of Engineering, Kothamangalam, India., Paul Sara ,   Assistant Professor, Department of Electronics and Communication Engineering, Mar Athanasius College of Engineering, Kothamangalam, India.
Published: April 2020

Agriculture, although known as the backbone of the Indian economy, is facing crisis in terms of production. One of the major issues in the agriculture sector is the growth of weeds among the crops. They compete with the desired plants for various resources and hence their growth must be inhibited. At present weeds are removed either manually, which is a time consuming and labour intensive task, or herbicides are being sprayed uniformly all over the field to keep them under check. Spraying of herbicide is very inefficient as the chemical contributes less to weed control and cause contamination of the environment. The main objective of this work is a weed control system that differentiates the weed from crops and restricts weed growth alone by the precise removal of the weed. This is implemented by capturing the images of the field at regular intervals and processing them with a Raspberry Pi board by making use of an image processing algorithm to differentiate the desired plants from the weeds. This is based on various features like colour and size of the crop and weed. Once the weeds are identified and located correctly through image processing, a signal is transmitted from the Raspberry Pi board to turn on the weed cutting system. The selective activation of the weed removal system helps in the precise removal of the weeds and this provides a better environment for the desired plants to grow well.
Automatic Fish Feeder System for Aquaponics using Wi-Fi Based WSN
Authors:   Department of Electronics and Communication Engineering, Mar Athanasius College of Engineering, Kothamangalam, India., S. Linet Rose A. , Mohan Thomas ,   Department of Electronics and Communication Engineering, Mar Athanasius College of Engineering, Kothamangalam, India., Jacob Dr. Vinodkumar ,   Department of Electronics and Communication Engineering, Mar Athanasius College of Engineering, Kothamangalam, India.
Published: April 2020

Aquaponics is a farming method, which is the combination of aquaculture and hydroponics, which grows fish and plants together in one integrated system. The fish waste provides an organic food source for the plants, and the plants naturally filter the water for the fish. The purpose of this project is to build an automatic fish feeder system for aquaponics using image processing technique with the help of Wireless Sensor Network (WSN). This helps the farmers to reduce manual effort and safeguard a balanced food delivery. The number of fish in the pond may vary over time, so the amount of fish feed provided need to be changed. As there will be a large number of fish moving randomly in a pond, the manual tracking and counting of fish is very difficult. It is a time consuming and erroneous process. This work focuses on developing a system that tracks and counts the fish in the pond for aquaponics. This automatic fish identification system processes the video of the entire pond and makes it easier to estimate the count of fish. The frames from the video are processed using Raspberry-Pi board and the count of fish is transmitted through Wi-Fi. Such a system would assist to feed the fish accordingly. Based on the count transferred, a fish feeder mechanism is controlled using NodeMCU at the other end of the Wi-Fi. The amount of fish feed remaining in the feeding box is informed to the user through mobile application.
Disease Prediction using Enhanced Hybrid Algorithm with Manifold Dimensional Data
Authors:   Assistant Professor, Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Trichy, Tami Nadu, India., S Dhivya , K Anguraju ,   Assistant Professor, Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Trichy, Tami Nadu, India., K Suvitha ,   Assistant Professor, Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Trichy, Tami Nadu, India., P Preethi ,   Assistant Professor, Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Trichy, Tami Nadu, India., C Saravanabhavan ,   Head of the Department , Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology, Trichy, Tami Nadu, India.
Published: April 2020

Medicinal services industry has become huge business. The medicinal services industry creates a lot of social insurance information day by day that can be utilized to separate data for foreseeing malady that can happen to a patie future while utilizing the treatment history and wellbeing information This concealed data in the human services information will be later utilized for full of feeling basic leadership for patient's wellbeing. Additionally, this region need improvement by utilizing the educational information social insurance. Significant test is the manner by which to extricate the data from these information on the grounds that the sum is enormous so a few information mining and machine learning systems can be utilized. Additionally, the normal result a-n extent of this venture is that in the event that malady can be anticipated, at that point lord y treatment can be given to the patients which can lessen the danger of life and spare existence of patient and cost t get treatment of ailments can be decreased up somewhat by duke acknowledgment. For this expert problem, a probabilistic displaying and profound learning approach will prepare a Long Short-Term Memory(LSTM) repetitive neural network and two convolutional neural systems for forecast of illness which is named as an upgraded half and half algorithm. The fast adoption of electronic wellbeing records has made an abundance of new information about patients, which is a goldmine for improving the understanding of human health. The above strategy is utilized to anticipate epidemic ailments utilizing quiet treatment history and wellbeing data. The parameter thought about is that this mode lessens test and train set blunder and increment information enlargement with better accuracy of 73.6%.
Performance Analysis of Opposition Based Particle Swarm Optimization with Cauchy Distribution in Minimizing Makespan Time in Job Shop Scheduling
Authors:   Research Scholar, Noorul Islam Centre for Higher Educarion, Kanyakumari, India., R.* Anil Kumar K. , Dhas Dr. Edwin Raja ,   Department of Automobile Engineering, Noorul Islam Centre for Higher Educarion, Kanyakumari, India.
Published: April 2020

In the contemporary circumstances, manual solving of job shop scheduling problem (JSSP) is quite time consuming and inaccurate. The main intention of this paper is to analyze the performance of various optimization techniques in JSSP in order to minimize makespan time. This paper aims to analyze four optimization techniques viz, particle swarm optimization (PSO), genetic algorithm (GA), opposition based genetic algorithm(OGA) and opposition based particle swarm optimization with Cauchy distribution (OPSO CD) in addition to the existing optimization techniques applied in various research papers on combinatorial optimization problems viz., JSSP. A comparative study of these optimization techniques were conducted and analyzed to find out the most effective optimization technique on solving JSSP. Results show that OPSO CD is found to possess minimum makespan time in comparison with other algorithms for JSSP.
IoT Based Drip Irrigation System for Farming using Cloud Data
Authors:   IT Department, MLRIT, Hyderabad, India., G. Kiran Kumar , G. Anitha ,   IT Department, MLRIT, Hyderabad, India., Rani Malathi ,   ECE Department, MLRITM, Hyderabad, India., Paladugu Pallavi ,   IT Department, MLRIT, Hyderabad, India.
Published: April 2020

The water resource for farming is very much important. In Olden days people used to supply water for irrigation through rivers, reservoirs, tanks, and wells for irrigation farming. Day by day some of such resources vanish and over the century, the population of India has become three times. Demand for food as growing population and the need for water for agricultural productivity is crucial. As a result of a severe shortage of water exists across parts of India. Though we have different solutions with which water and fertilizer utilization can be optimized still there are few gaps which need to be addressed to make the current systems more robust and backed by technology to get better yields. In this work, IoT based water conservation for farming using auomated drip irrigation system by considering scalability. Here for storing statics or parameters could storage is used. Based on these parameters dripping decisions (soil, moisture, and climate conditions) has been taken. The proposed solution is implemented and shown results with necessary parameters.
Automatic Penalty of Vehicles for Violation of Traffic Rules using IoT
Authors:   Assistant Professor, Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India., K.N Baluprithviraj. , S Idhikash. ,   Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India., S.R Kirubaharan. ,   Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India., V Ashwin. ,   Electronics and Instrumentation Engineering, Kongu Engineering College, Erode, India.
Published: April 2020

Traffic accidents have increased numerously. Even though of the vehicle has increased exponentially in our country, the road infrastructure is still a problem. The idea is to automate intimation of the penalty using Raspberry pi and IoT. Here the sensor is placed in the vehicle and used to detect the speed. The transmitter is used to send the required signal from the outside environment using zigbee. This transmitted signal is received by the receiver placed in the vehicle and the raspberry pi unit compares the speed of the vehicle with the transmitted signal and if it is more than the transmitted speed a message intimation will be sent to the user, thereby accidents can be avoided at maximum. Here the transmitted signal have been fixed as 80kmph as per the revolutions per minute of the vehicle so if any vehicle that crosses and receives the transmitted signal through the receiver it compares the transmitted signal with the speed of the ongoing vehicle and once this speed exceeds the limit given by the transmitted signal an penalty intimation will be sent to the user intimating him that he/she has been penalized for over speeding the limit in certain areas.
Design and Construction of an Inverter for University ICT Loads
Authors:   department of Electrical Engineering, University of Nigeria, Nsukka, Enugu, Nigeria., Josephine* Mbunwe Muncho , Chukwudolue Madueme Theophilus ,   department of Electrical Engineering, University of Nigeria, Nsukka, Enugu, Nigeria.
Published: April 2020

In trying to restore a stable power generation in this part of the world for effective research studies and to improve administrative duties in the University of Nigeria Nsukka, this paper discusses the design and construction of a single phase inverter for information communication and technology equipment’s (ICT) which includes printers, computers, and network switches etc. The inverter system converts the DC voltage from a battery to AC voltage. The output is a pure sine wave, with the voltage and frequency of the standard grid (50Hz, 230V). A pulse width modulated (PWM) switching scheme together with a full bridge converter and filter is use to realize this design. The sinusoidal pulse width modulation (SPWM) switching scheme is the main logic control circuit of this inverter and provides a PWM output using operational amplifiers and microcontroller. This logic circuit is connected to a driver circuit to ensure sufficient gate driving current and voltage for the full bridge converter (H-bridge) switches (power MOSFET). The pulse signals are used to drive MOSFET in a H-bridge configuration to produce an output that is bipolar The output of this inverter switches from positive to negative (bipolar). This output from the MOSFET when filtered produces a sine wave output. This project is implemented and simulated using MATLAB simulation software.
LPDE/Alumina Based Bio-Nano Composite Materials for Food Packaging Applications
Authors:   Department of Production Engineering, Sri Sai Ram Engineering College, Chennai, India., M.* Manojkumar , R. Ashok M. ,   Department of Production Engineering, Sri Sai Ram Engineering College, Chennai, India., K. Karthikeyan ,   Department of Mechanical Engineering, Eswari Engineering College, Chennai, India., U. Dr. Tamilarasan ,   Department of Production Engineering, Sri Sairam Engineering College, Chennai, India., Moorthy A. Dr. Anandha ,   Department of Mechanical Engineering, Bannari Amman Institute of Technology, Erode, India.
Published: April 2020

Bio nano-materials are playing an important part in a number of applications due to their inherent eco-friendly advantages since the last few decades. Most of the materials used in food packaging are not degradable material, which do not meet increasing demands in society for sustainability and environmental safety. Thus, numerous polymers have been applied to develop biodegradable food packaging materials. However, the use of polymers has been limited due to the poor mechanical and barrier properties. These properties can be enhanced by adding reinforcing nano-sized compounds or fillers to form composites. The current research work is based on LDPE (Low Density Polyethylene) reinforced with nano alumina particles. The bio-nano composite material has been prepared by melt intercalation method. The microstructure is obtained by SEM analysis and tensile test are carried out to check with their tensile property. The results showed that by adding 1% of alumina nano particles in LDPE there is an increase in tensile strength and elongation of bio-nano composite materials.
Geotechnical and Morphological Properties of Lime-stabilized Fly Ash Mine Overburden Mixtures for Subbase of Haul Road
Authors:   Research Scholar(Ph.D. Student), Department of Mining Engineering, IIT (BHU) Varanasi, India, Kumar* Mr. Sunil , Kumar Mr. Anand ,   Pursuing, Ph.D., Department of Mining Engineering, IIT (BHU), Varanasi, India, Sharma Professor Sanjay Kumar ,   Department of Mining Engineering, IIT (BHU) Varanasi, Kumar Dr. Brind ,   Associate professor, Department of Civil Engineering, IIT (BHU), Varanasi
Published: April 2020

Handling and the disposal of fly ash is a severe problem in the coal-based thermal power plants. Fly ash is a substantial by-product of the thermal power plants that adversely affect land, water, and air. It's a gainful usage is being explored continuously in many areas. The use of fly ash in the haul road construction for the opencast coal mines is one of the alternatives. This paper reports, detailed laboratory investigations executed with the lime stabilized fly ash-mine overburden mixes to assess their suitability for subbase of a mine haul road. The composite materials were prepared from fly ash, mine overburden, and lime at different proportions. Proctor compaction test, California bearing ratio (CBR) test were carried out at the various curing periods. The combination of the mix with 25% fly ash and 66% overburden, stabilized with9% lime, produced the highest possible compressive strength, and bearing ratio value as compared to that of the other mixes with curing, suitable for mine haul road construction. A laboratory test has been executed with different percentages of lime (3%, 6%, to 9%). Scanning electron microscopy (SEM), along with dispersive energy X-ray (XRD) analyses has been conducted at 7, 28 & 56 days cured samples. The experimental results showed that strength values of fly ash mine overburden and mixes up increased because of the lime treatment method.
Enhancement of Range Resolution using Two Receivers in Continuous Time Frequency Modulation Technique
Authors:   ECE department, Jaypee Institute of Information Technology, Noida, India., Tyagi* Kapil Dev
Published: April 2020

The resolution in range in continuous time frequency modulation (CTFM) is directly proportional to the pulse width of the compressed signal. The two receiver technique for continuous transmission frequency modulation processing was proposed as a technique to make resolution independent of the pulse width. In two receiver technique the output is without any discontinuity in time. Practically, it has been observed that the resolution in range is also limited by the pulse width of the probe signal bandwidth in the two receiver CTFM technique. The actual performance and limitation of the two receiver technique has been given in this paper.
Green Consumerism: A Special Emphasis on Purchase Behaviour towards Eco-Friendly Products in Bengaluru, India
Authors:   BBA Department, Koshys Institute of Management Studies, Bengaluru, India., B.* Prof Milana , V. Prof Roopa K. ,   MBA Department, Koshys Institute of Management Studies, Bengaluru, India., M. Prof Sridevi ,   BBA Department, IFIM College, Bengaluru, India.
Published: April 2020

Green Consumerism is acquisition of a product in a market in sustainable way and eco- friendly environment. Now a days, our society is very much worried about our environment and the pollution caused by us. So, in order to protect our environment, we should follow green practice. Due to pollution and decomposition of Industrial waste, the ozone layer is getting depleted. The organization has to step forward to protect the environment by producing and selling. Moreover, because of this green product the sales of the organization can also be increased and it protects our environment. According to 2016 the green packaging global market value is 135.15 Billon U.S. dollar they are planning to reach 283.3 billion U.S. dollar by 2025.The study emphasis on factors influences the consumer behaviour toward Green Marketing. The questionnaire was prepared and sent to 373 people but, in that 283 respondents given their opinions. According to the study, the Vouch Factor, Environmental Factor and Reference Group are the factors influencing the consumer to Buying Behaviour Green Products
Implementing IT Risk in ITSM Tools using Octave Allegro Method Based at ITSMProject
Authors:   Computer Science, Bina Nusantara University, Jakarta, Indonesia., Tristian* R. Arga , Wibowo Antoni ,   Lecturer of Magister TeknologiInformasi,Bina Nusantara University, Jakarta, Indonesia.
Published: April 2020

The purpose of this research is to identify and conduct risk analysis a Analyze risk on IT Service Management Information System Tools vulnerabilities at IT Service Management project, To obtain the level of vulnerability or weakness of information and to produce a strategic recommendation to overcome the vulnerability of information in the Project, OCTAVE Allegro was used as the method. Awareness of the importance of information system security and its assets to an organization and the impact that may arise from the destruction of the information system and its assets does not seem to be getting attention for most organizations and resulting low performance on Service Management while the evaluation and analysis process is more focused on the management of critical assets owned by the Project. Conclusion of the risk assessment is recommendations on the steps to be taken protect and manage the IT Service information system critical assets at IT Service management Project and also for a better service and achieve Service Level Agreement.
A Multimodal Biometric User Verification System with Identical Twin using SVM 2
Authors:   Ph.D Research Scholar, Department of computer science, Mother Teresa Women's University, Kodaikanal, India., Priya* B. Lakshmi , Rani Dr.M.Pushpa ,   Professor and Head, Department of Computer Science, Mother Teresa Women's University, Kodaikanal, India.
Published: April 2020

A biometric system recognizes unique features of a distinct found on the resolution and examining the behavioral and physical characteristics. Yet, the objective of existing search is to identify and verify the authorized person but it is inefficient due to noisy data, unacceptable false rates and identical twins. However, the identical twin has a high complexity owing to the closest genetic relationship with overall biometric recognition. Multimodal biometric system uses multiple sensors to conquer the detriment of single biometric system. Hence, this method uses Adoptive Median Filter for reducing image distortion and SVM2 classification to improve the false rate which ensure reliable and precise biometric recognition system. This propounds a multimodal biometric user verification system by integrating fingerprint; facial recognition and lip print images which produce a robust, reliable and accurate authentication result.
Enhancing Data Base Security in Cloud Computing
Authors:   Student, B. Tech ,Department of computer science and engineering(CSE), Saveetha School of Engineering, Chennai, India., Kanakanti* Balakrishna Reddy , Subramanian EK ,   As assistant Professor(SG), at the department computer science and engineering(CSE),Saveetha school of engineering, Chennai, India.
Published: April 2020

Information security has reliably been a significant issue in data innovation. In the distributed computing condition, it turns out to be especially genuine in light of the fact that the distributed is suitable in better places even in all the globe. Distributed and security insurance are the two fundamental components of client's worries about the cloud innovation. Despite the fact that numerous procedures on the themes in distributed computing have been researched in the two ventures, information security and security assurance are getting progressively significant for the future improvement of distributed computing innovation in government, industry, and business. Information security and protection assurance issues are significant to both equipment and programming in the cloud design. This examination is to survey diverse security methods and difficulties from both programming and equipment angles for ensuring information in the cloud and targets upgrading the information security and protection assurance for the dependable cloud condition. In this paper, we make a relative research examination of the current research work with respect to the information security and security assurance procedures utilized in the distributed computing.
Footprint-Based Health Monitoring Database using Raspberry PI
Authors:   UG Scholar, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences,Thandalam, Chennai, Lavanya* C. , Christy S. ,   Associate Professor, Faculty of Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Thandalam, Chennai
Published: April 2020

The health monitoring of the person can be done in the different ways. The health of the patient can be determined by the image processing technique. The biometric parameters can gather the details of the health condition of the patient. The digital image processing can be applied in the various filed such as medical, geology, research etc., In this paper they proposes the foot print technology this can capture the foot print of the patient by using the web cam. The captured image can be analyzed by using the shape and the dimension analysis. The foot print can reads the each person identity. Based upon the identity and the numbers the image processing system is implemented. It uses the raspberry pi as the main part. The data which is captured by the web cam can be stored in the SD card. The data allocation is done in the memory path. The classification of the data is takes place by using the data separation algorithm. The color analysis can takes place a significant place based upon the color we can able to classify the foot print and makes it for further analysis. There are several steps can be took place the image acquisition, edge detection, feature extraction, pattern recognition, pattern matching. The matched image can be provided as the better result. Based upon the result the health condition can be predicted. This method is highly effective and accurate when compared to other method.
Asset Pricing and Volatility of Indian Stock Market
Authors:   Assistant Professor, Dr. BR Ambedkar Institute of Management and Technology, Hyderabad, Sumalatha* P. , Raghavendra Settypalli ,   Assistant Professor, MBA Department, PVKK Institute of Technology, Sanapa Road, Ananthapuramu, Sudharani Telugu ,   Assistant Professor, Dr. K V Subba Reddy School of Business Management, Kurnool
Published: April 2020

This paper shows a basic market portion model of two sorts of dealers, for example, fundamentalists and chartists under a market situation. It is discovered that the Asset costs, riches elements and market conduct are portrayed by the elements of the basic deterministic framework. We give the hypothetical and exact contentions for a recessed shape for the security advertise line, or a reducing minimal premium for showcase hazard. In capital market balance with basic portfolio limitations, various financial specialists by and large hold various arrangements of theoretical or tricky protections. We show that the volatility depends on covariance of aggregate risk aversion and the stock returns. We found that the heterogeneity increases volatility and thereby it leads in rise of beta. Here the statistical approach is provided to estimate the volatility of the assets included in the portfolio. This paper draws out the connection between the alpha (returns) and beta (hazard). A sober minded examination of securities exchange information affirms the presence of a critical and solid, inward cross-sectional connection between normal return and gauge past market beta. This paper additionally reports a descending slanting of security advertises line, which is more bewildering than the normal and customary "smoothed" SML. We additionally found that the incline of SML turns out to be increasingly "modified" when speculators become overweening with expanded exchanging volume. Here high-beta stocks are the most exchanged stocks and are connected with the least hazard balanced returns and bringing about a way more noteworthy gainfulness of the wagering against-beta. Hence the asset pricing can be made with the help of security market line or characteristic line which best describes the prominent attributes of the securities that are leaping on the market line. The Capital asset pricing model can be perfectly justified with the help of SML.
Variation of Speed and Torque Response of Closed-Loop Classical Controlled Different Rated BLDC Motor
Authors:   Pursuing Ph.D., Department of Electrical and Electronics Engineering, National Institute of Technology Mizoram, India., Das* Upama , Biswas Pabitra Kumar ,   Department of Electrical and Electronics Engineering, National Institute of Technology Mizoram, India.
Published: April 2020

This manuscript proposes a comparative analysis of BLDC motor performance at various ratings. The BLDC motor may act as a replacement for conventional engines such as the Brushed DC motor, the induction motor, the switched reluctance motors, etc. Because of the BLDC motor's overweight merits, modeling is performed to improve system performance. The torque feature of BLDC motor plays an extremely significant aspect in the fabrication of the BLDC motor drive device, so it is crucial to approximation the exact torque value that is calculated by the simulation of the model proposed in MATLAB software. In the MATLAB / Simulink setting, different ratings of BLDC motor are simulated after the creation of the straightforward analytical model of the three-phase BLDC motor with counter electromotive force trapezoidal waveforms. Based on the review, a comparative examination of each valued engine outcome is displayed in the MATLAB environment's Graphical User Interface.
Design of Photovoltaic System with Different Power Point Tracking Techniques for on-Grid Applications
Authors:   Department of EEE, S. V. Engineering College, Tirupati, India., Kiran Dr. Shaik Rafi , Thirupataiah N. ,   Department of EEE, S. V. Engineering College, Tirupati , India., Reddy M. V. Bramhananda ,   Department of EEE, S. V. Engineering College, Tirupati, India.
Published: April 2020

In India, solar energy meets consumer energy demand and majority of the plants are grid connected. Solar power is mainly depending on two factors, which are sun ray’s incident angle and change of environment conditions. The Maximum Power Point Tracking (MPPT) of photovoltaic (PV) module is necessary to maximize the extraction of PV power under partial shading conditions. The main aim of this paper is to highlight the design and implementation of 5MW solar plant with different power tracking techniques. In addition, the detailed explanation of various materials used to design the PV module is illustrated. This paper also describes the two types of solar rating panels that are used to get high power conversion efficiency as well as continuous power supply along with that the plant cost, monthly and yearly power production and corresponding efficiency is calculated.
Various Electricity Load Forecasting Techniques with Pros and Cons
Authors:   Research Scholar, Punjabi University, Patiala, India., Singh Mandeep , Maini Dr. Raman ,   Professor, Punjabi University, Patiala, India
Published: April 2020

The rapid growth of stored information in the demand forecasting, associated with data analysis provoked an utmost need for generating a powerful tool which must be capable of extracting hidden and vital knowledge of load forecasting from available vast data sets. Being a promising sub domain of computer science, numerous data mining techniques suits the solution to this problem very well. This paper presents a vast, rigorous and comparable survey of tremendous data mining techniques useful in forecasting the electricity load demand of different geographic area. Based upon the rigorous survey, primary challenges involved in the current technologies and future goals are also discussed.
A Cross-Sectional Analysis of the Application Sustainability and Current Practices of Value Management at the Briefing Stage
Authors:   Assistant Professor, Department of Civil Engineering, College of Engineering, King Khalid University, P.O. Box: 394 Abha 61411, Kingdom of Saudi Arabia, Falqi * Ibrahim I. , Alshehri Abdullah M. ,   Assistant Professor, Department of Civil and Environmental Engineering, College of Engineering, Majmaah University, Majmaah, Saudi Arabia.
Published: April 2020

The value management concept is becoming increasingly relevant to the construction industry in Saudi Arabia. The aim of this study to analyse the technical knowledge of value management practitioners concerning the sustainability aspects and its implementation all over the country. A quantitative research design used to analyse the application of value management among stakeholders associated with construction projects. The results shown that 10% of consultants and 8% of the contractors were having a useful application of value management; while, 4% consultants and 6% contractors have full maturity of the value management application. The findings have shown that unqualified individuals (24%), lack of client’s experience (24%) and not part of the project (17%) are the main reasons behind the restriction of value management implementation. Despite the implications of value management is extensive in developed and developing countries, the Saudi construction industry needs to increase the level of application of value management.
Machine Learning Techniques for Prediction of Lung Cancer
Authors:   Department of Computer Science and Engineering, Collage of Engineering and Technology, Bhubaneswar, India., Banerjee* Nikita , Das Subhalaxmi ,   Department of Computer Science and Engineering, Collage of Engineering and Technology, Bhubaneswar, India.
Published: April 2020

Lung cancer has been one of the deadliest diseases in today’s decades. It has become one of the causes of death in both man and woman. There are various reasons for which lung cancer occurs but classification of tumor and predicting it in the right stage is the most important part. This paper focused on the numerous approaches has been derived for lung cancer detection from different literature survey to advance the ability of detection of cancer. Digital image processing and data mining both are equally important because for prediction either image dataset or statistical dataset is used so for pre-processing the image dataset digital image processing is applied for statistical dataset data mining is applied. After pre-processing, segmentation and feature extraction we apply various machine learning algorithm for the prediction of lung cancer. So first we have provided a sketch of Machine learning and then various fields like in image data or statistical data where machine learning has been used for classification. Once the classification is done confusion matrix is generated for calculating accuracy, sensitivity, precision, these method is used to measure the rate of accuracy of the proposed model.
Reconfigurable Filter Bank Design Techniques for Hearing Aid Performance Improvement
Authors:   E & Tc Department, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, India., Shrivastav* Anjali A. , Kolte Dr. Mahesh T. ,   E & Tc Department, Pimpri Chinchwad College of Engineering, Savitribai Phule Pune University, Pune, India
Published: April 2020

Hearing is one of the most crucial sense for human beings as it connects them to external world. Hearing loss impairs communication which is an essential human function. Hearing disability has massive negative impact on life, work, physical and emotional well-being as well as relationships and is rated as the third most common health problem affecting relations and quality of life. Hearing aid devices can selectively intensify sound signals in order to suit the hearing characteristics of the patients and is a boon for people with hearing misfortune. However, there is a huge gap between the potential and actual hearing aid users. This work provides a critical look into the various challenges posed by hearing aid users, the comparative of the existing state-of-art hearing devices and throws light on bottlenecks in hearing aid design and performance. Filter bank, being the holy grail of Digital Hearing aid, needs special attention for improving the hearing aid performance. Reconfigurability is the need of the hour for providing flexible and tailormade hearing aids that can suit individual hearing requirements. The paper discusses and gives an in-depth insight into the techniques for reconfigurable Filter bank design for performance augmentationin terms of parameters like Signal quality, Auditory compensation, Computational and Hardware complexity, area, speed, power, etc.