bluuebunny/crossref_metadata_2025 huggingface dataset:
IOT: the Current Scenario and Role of Sensors Involved in Smart Agriculture
Authors:   B. Tech (ECE), Pursuing M. Tech, School of Electrical and Computer Science Engineering, Shoolini University. Research Area: Wireless Sensor Networks, Internet of Things and Embedded Electronics., Bhatt* Harshit , Bhushan Brij ,   Assistant Professor, M. Tech (ECE), Pursuing PhD, School of Electrical and Computer Science Engineering, Shoolini University. Research Area: Wireless Sensor Networks, Internet of Things and Embedded Electronics, Kumar Nagesh ,   Assistant Professor, M. Tech, PhD, School of Electrical and Computer Science Engineering, Shoolini University. Research Area: Sensor Networks, Internet of Things, Computer Network and Security.
Published: December 2019

Agriculture is a really important field for the economic development of any country. Most of the researchers are focusing on this field, by providing smart solutions for the day to day problem in field of agriculture. IoT (Internet of Things) has played a very essential role for the development of this sector, in fact IoT Technology has played a vital role in each and every field. IoT enables a working area in which everything works smartly and intelligently. IoT can be defined as a network of things which can make a self-configuring network. By developing new smart devices for the field of agriculture, it is converting the face of traditional farming to a new and intelligent level of agriculture production. IoT is not only enhancing the traditional agriculture to a smart agriculture but it enabling the new techniques for smart agriculture which are cost-effective as compared to the traditional agricultural tools. By the continuous monitoring of the processes and production it is also reducing the wastage of the crops. This paper aims to explore the various available techniques, methods, devices in the sector of the smart agriculture.
Employee Engagement leads to Job Satisfaction
Authors:   Research Scholar (Utkal University) BBSR, Dash Bandita , Panda Dr. Mousumi ,   Head of the Department (MBA).GIFT BBSR
Published: December 2019

Employees are the real asset of an organisation. As in today’s era competition is growing and in this competitive environment the organisation is looking up to strengthen themselves so as to be the best among the others. Employees can act as the reason for success and simultaneously they can be the reason behind the failure of an organisation if not taken care in proper direction. The concept “employee engagement” is being widely used in every organisation with an intention to improve the productivity level more. Employee engagement is nothing but the level of willingness, ability and attitude of employees towards their work or task. As per the researchers, many evidences has been found out which shows that more the employee is engaged more he/ she contributes towards the job and more they are likely to be satisfied. This research article portrays an interlink between employee engagement and job satisfaction. It shows that employee engagement is directly related to the job satisfaction. This research paper is descriptive in nature. The paper was developed taking the feedback from 30 respondents through the help of questionnaire. The questionnaire was developed taking into account the necessary determinants.
Risk Management of Credit Card Payment Gateway using Octave Allegro Methodology At Electronic Payment Provider Institution
Authors:   Information Systems Management Department, Binus Graduate Program-Master of Information Systems Management, Bina Nusantara University,Jakarta Indonesia, Legowo* Nilo , Saputra Kemas Airlangga ,   Information Systems Management Department, Binus Graduate Program-Master of Information Systems Management, Bina Nusantara University,Jakarta Indonesia
Published: December 2019

The use of internet technology is growing very fast which is driving the development of businesses in Indonesia, one of which is in the eCommerce sector. To support payment transactions conducted by e-commerce, in conducting this business, it is necessary to collaborate with business partner engaged in the payment gateways sector. Company partner engaged in the payment gateways sector to provide solutions to electronic financial transactions where one product is a credit card payment gateways. The purpose of this research is to make a risk assessment and risk management for audit certification credit card payment gateway Company. Risk assessment can help to know what are the risks that may occur, how big the impact of these risks, as well as recommendations related control measures must be carried out if the impact of these risks occur. This research using OCTAVE Allegro methodology to identify and evaluate information security risks credit card payment gateway. This research is qualitative research consisting of observation, conducting group discussion with the respondents. The respondend of this research are VP Development and Service Provisioning, VP Operation and Infrastructure, Manager Front End 1, Manager Back End 2, and Senior Programmer. Results of this research are 9 critical information assets in credit card payment gateway in COMPANY, such as : Card Holder Data & Customer Credential, Data Center, Physical Devices, Logical Storage, Logical Network, Supporting Software, Core Application, Encryption Key, and Human Resources. There are 21 risks that may occur during in credit card payment gateway. From 21 risks that were identified, obtained 15 risks are defer, 3 risks to be acceptable, and 3 risks should be mitigate.
Improving the Variation-Tolerance of Memristor Synapse by Selecting the Optimal Memristance
Authors:   Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology and Education, Vietnam., Truong* Son Ngoc
Published: December 2019

Memristor crossbar array that has a lot of advantageous features such as non-volatile, high-density, and low-power, is potentially used for realizing artificial neural networks. One of the important factors affecting the performance of crossbar circuits is memristance variation. The variation of memristance causes the variation of synaptic weights resulting in the degradation of the performance of the neural networks. In this paper, the variation-tolerance of memristor synapse is improved by minimized the gradient of the synaptic weight function. To reduce the gradient of synaptic weight function, the memristance values of memristors must be close to the high resistance state. This can be achieved by selecting the value of bias resistance because memristance values of memristors in crossbar-based neural network are distributed around the bias resistance value. In the simulation result, we measure the recognition of crossbar circuit for recognizing the MNIST handwritten digits with the variation is in range of 0% to 10% and the value of bias resistance varies from 30KΩ to 80KΩ. For the bias resistance is as low as 30KΩ, the recognition rate of the crossbar circuit is as low as 17%, when the variation is 10%. When the bias resistance is 80KΩ, the recognition is 70%, when the variation is 10%. When the range of memristance is close to the high resistance state, the recognition rate is improved by 53% when the variation is 10%.
Advanced ATM Crime Prevention System by using Wireless Communication
Authors:   ECE, CMR Technical Campus, Hyderabad, Telangana, India., Naqi* Mohd. Abdul , Pendem Sireesha ,   ECE, CMR Technical Campus, Hyderabad, Telangana, India.
Published: December 2019

The Implementation of Advanced ATM theft avoidance System is brought into world with the perception of ATM wrongdoing occurring far and wide. This paper manages the counteractive action of ATM wrongdoing. At whatever point burglary happens, MEMS module presented to detect crime to ATM machine. Proposed framework done by ARM controller based installed framework designed for constant information gathered utilizing a MEMS module. When the theft happens this designed system automatically alerts alarm such as buzzer, dc motor control gate, GSM sends SMS to authorized person and the status is displays in LCD to monitor. When IR detects misusage of ATM this designed system automatically alerts alarm such as buzzer, dc motor control gate, GSM sends SMS to authorized person and the status is displays in LCD to monitor. Simultaneously this framework additionally manages the wellbeing of the client by cautioning the encompassing individuals and close-by police headquarters at whatever point the client is in risky circumstance. Here we utilizes RFID module to verify ATM Card. RFID discovered ATM card swipe anyplace. It naturally sends burglary alert through GSM, buzzer ready individuals, dc motor entryway lock and all the status displays on LCD. Keil software is used to implement programmatically and execute the project successfully.
Patch Based Deep Local Feature Learning and Self Similarity Multi Level Clustering for Neonatal Brain Segmentation in MR Images
Authors:   Associate professor, HOD MSc IT, Jain University., Shashi Puja , R Suchithra ,   Director of MCA department in Jain Deemed to be University,Bangalore
Published: December 2019

The main purpose of this work is to develop a new scheme to profoundly retrieving features to perform the process of identifying a brain regions from the MR neonatal brain image. First the input MR neonatal brain image is denoised by using the Modified Fuzzy Adaptive Non Local Mean Filter (FANLMF) and then the contrast of the image is enhanced using the Adaptive Average Intensity Based Histogram Equalization (AAIHE). After pre-processing the input MR image, the next step is to retrieve the features of a similar image. To capture the features from the pre-processed image, this project offers a new technique for retrieving features called Patch Based Deep Local Feature Learning (PBDLFL). After retrieving the deep features, the next step is to divide the brain regions based on these retrieved features. To implement this process, the supervised segmentation scheme is employed. Among several supervised segmentation scheme this works employs proposed approach named Self Similarity Multi Level Clustering (SSMLC). Finally, the retrieved features are given as an input to these SSMLC approach for separating the regions of the brain. To understand the effectiveness of the proposed deep feature retrieval and proposed segmentation scheme, four performance metrics are employed namely, Dice Similarity Coefficient (DSC), Positive Predictive Value (PPV), Jaccard Index (JI) and Sensitivity (SEN). The experimental results show that the new PBDLFL and SSMLC perform better than other existing approaches.
Mispronunciation Detection for Spoken Isolated Words using Segmentation and Classification under Low Resource Conditions for Kannada Language
Authors:   Department of CSE, PES University, Bangalore, India., Murthy* Savitha , Suresh Pragnya ,   Department of CSE, PES University, Bangalore, India., Shah Preet ,   Department of CSE, PES University, Bangalore, India., Sitaram Dinkar ,   Department of CSE, PES University, Bangalore, India.
Published: December 2019

Relocation makes it inevitable for a person to learn the local pronunciations correctly. With the advent of mobile phones, language learning can be made easy and flexible. Our research involves Kannada Kali, a mobile and cloud based application that is being developed to assist people in learning the correct pronunciations of Kannada (a language spoken in India). Automatic Speech Recognition systems which are used to aid pronunciation training require to be trained on sufficient amount of spoken target language data. Since collecting such data in not easy, the objective of our research is to detect mispronounced segments of words with minimal data. When there is scarcity of data, a comparative approach where spoken word segments are compared with the canonical pronunciations is more effective for detecting anomaly in pronunciation. Since syllables are basic independent units of pronunciation, the spoken words are segmented into syllables for effective comparison and feedback. We propose an unsupervised segmentation method called Spectrogram Formant Contour Analysis that detects syllable boundaries by analysing the change in contours of the formants in the spoken word spectrograms. The task of mispronunciation detection is more effective when the application can identify the actual syllable pronounced and communicate the correct pronunciation to the user. For the purpose of syllable classification, our method employs a novel approach where a model is trained on phonemes and given syllables as input for identification. Our study includes comparing the performance of three machine learning algorithms, namely, Convolution Neural Network, Support Vector Machines and K-Nearest Neighbours on the task of identifying phonemes when they are trained on minimal data. The accuracy of KNN on phoneme classification was the best with 80% for clean and 60% for noisy data. In case of our initial results on syllable classification for Kannada Kali, Support Vector Machines gave the highest accuracy of almost 30%.
Phosphorus Removal from Textile Industrial Wastewater using Aerated High Calcium Steel Slag Filter System
Authors:   Department of Civil Engineering, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia., Arshad* Nur Ain Nazirah Mohd , Hamdan* Rafidah ,   Department of Civil Engineering, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia., Ahmad Nuratikah ,   Department of Civil Engineering, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia.
Published: December 2019

Phosphorus in wastewater accelerates eutrophication in water body. Textile wastewater is one of contributors to the phosphorus loading into water body which promotes the growth of algae, reducing the oxygen content and detrimental to surface water ecosystem. Myriad existing treatments for phosphorus removal have been developed but it requires a high cost treatment and maintenance. Rock filter system emerged as one of the alternative method for phosphorus removal from wastewater with steel slag as the filter media. However, application of the system in treating industrial wastewater is still unclear especially in big scale application and requires extensive study. This study is done to provide solution of phosphorus loading from textile wastewater using steel slag as filter material and to investigate the removal capacity of steel slag with high calcium and low ferum content. The steel slag was analyzed using XRF for its composition and to ensure the steel slag has high Ca content. Then, the aerated steel slag filter system was set-up on the site of textile industry for a month and analyzed according to parameter of pH, alkalinity, COD, DO, temperature and TSS. The result from this study showed that the aerated high calcium low ferum steel slag filter has a high efficiency of phosphorus removal rates varied from 35% to 67% in treating textile wastewater. It was found that aerated steel slag system was efficient in phosphorus removal by using industrial wastewater.
CHOG Based EFD for Geometric Shape Retrieval of Images for Cloth and Object Invariant Gait Recognition
Authors:   Asst. Professor at K.L.E. Institute of Technology, Hubli, India, Rayangoudar* Tejas K. , Nagraj H. C. ,   Principal of NMIT Bangalore, India
Published: December 2019

Gait refers to person identification based on the observation of human walking style. One of the prominent hurdles in gait recognition is, the challenges posed by change in apparels like clothes and object held by the subject. The paper explores the feature extraction techniques like CHOG and Elliptical Fourier Descriptors in spatial and frequency domain respectively to mitigate this negative impact on gait recognition. The CHOG behavioural feature extraction technique is used to capture the effective distribution of local gradient on gait sequence images. Further the Elliptical Fourier Descriptor (EFD) is found in frequency domain to access the geometric characteristics of a spatial domain image. The work is carried out on 36 subjects with 5 different apparels and 3 different objects each with 6 gait cycles from standard dataset CASIA SET – B and CMU - MoBo. SVM classifier is used to effectively discriminate the gait cycle patterns using optimal hyper plane. The results obtained have given an improvement of 7% to 24% increase in gait recognition over earlier techniques like GEI, CDA, LDA, ENTROPY, static and dynamic region splitting.
Digi Locker –Indian Digital Locker, How much the youth is actually using it?
Authors:   Principal, Mata Sundri College, University of Delhi, Delhi, India,, Kaur Prof. (Dr.) Harpreet , Kaur* Ushveen ,   Assistant Professor, Dept. of Computer Sc, Sri Guru Gobind Singh College of Commerce, University of Delhi, Delhi, India,
Published: December 2019

Information and Communication Tools (ICT) are a prerequisite these days for ensuring better governance and administration. It not only improves the quality of administration but also facilitates procedures by making it more efficient and user-friendly. Government of India (GOI) has proposed many schemes under the Digital India umbrella; and DigiLocker is one of the flagship schemes initiated to bring a total digital change in the life of citizens of India especially the young citizens who are the future of India. The scheme has an inherent potential to give an opportunity to a large section of population with a paradigm shift for ushering in e-governance. DigiLocker, the Indian Digital Locker, allows an individual to save online and digitally share the documents issued by any government department, educational institute, transport department and other agencies. This research paper empirically calculates if the usage of DigiLocker is dependent on Gender (Male/Female), school background (Private/Government), area in which their college is, type of course (Undergraduate/Professional/Engineering) they are pursuing, year in which they studying (I/ II/ III/ IV year) of the course they are pursuing. The paper further analyzes the documents undergraduate college and engineering students maintain in their DigiLocker, whether DigiLocker documents are accepted in various undergraduate Institutes, if the students find DigiLocker secure or not, and the ease of use of digilocker. And finally, a few suggestions are made to make DigiLocker more usable among the young students that would have a marked change in digitalization scenario of India.
Strategies for Developing the MSMEs of Fisheries Processing Industry in Sukabumi, Indonesia
Authors:   Department of Management, Nusa Putra University, Sukabumi, Indonesia., Iskandar* Yusuf , Zulbainarni Nimmi ,   School of Business, IPB University, Bogor, Indonesia., Jahroh Siti ,   School of Business, IPB University, Bogor, Indonesia.
Published: December 2019

The purpose of this research is to develop strategies to enhance the performance of MSMEs in the fisheries processing industry in Sukabumi Regency. The data used in the study were obtained from the result of interviews using questionnaires. This research used descriptive analysis, internal-external matrix analysis, IE matrix analysis, SWOT matrix, and QSPM analysis. The research findings obtained from internal and external factor evaluation using the IFE dan EFE matrix found that the industry has a rating of 2.775 and 3.225. The industry’s position is in quadrant II of the IE matrix, which is in the ‘intensive’ and ‘integration’ area. Based on the results of the SWOT analysis and QSPM analysis, four strategies can be carried out. The strategies obtained are expected to be able to answer all existing problems and be able to develop the fisheries processing industry MSMEs in Sukabumi Regency.
Performance Analysis of Multi Scale Applications on Cloud Systems
Authors:   Assistant Professor in Indira College of Commerce and Science , Pune ,India., Kumbhar* Vijaya , Kumar Ajay H. ,   Research Guide in Computer Science Department, SavitribaiPhule Pune University
Published: December 2019

Cloud Computing is the most adoptable technology in use recently where bigger and complex applications are deployed and used on cloud server. Multi scaled applications are such applications which have multiple attributes (data size, number of requests, number of concurrent users etc.) that can cause to poor performance of its application service. For better performance, it needs to be measured, analyzed and optimized using tools, strategies or algorithms. The multi scale application’s performance is measured at end user level, network level and data center level. In this paper, the focus is measuring the performance of multi scale applications in terms of response time and throughput using CloudAnalyst simulator. Multiple scenarioslike varying data size,varying number of concurrent users and varying number of requests are simulated for multiscale application and tested.The results obtained shown that response time and throughput of application gets reflected mostly by Data Size, number of requests per user and number of concurrent users. It is also observed that the most significant factor is data size along with huge volume of concurrent users, impacts the response time of multi scale application.Hench this research recommends that multi scale data I.e. data type and data size plays vital role in cloud based multi scale application’s performance measurement.
Perception of Active users towards Whatsapp Pay in India
Authors:   Faculty, Department of Commerce, St. Marys College, Yousufguda,, Hyderabad, India., Amulya* Vunnava , Sruthi Perepu Raga ,   Bachelors in Commerce, specializing in Computers from St. Marys College, Yousufugda, Hyderabd.
Published: December 2019

The emergence of Digital India reforms has led to the growth of Digital Payment apps. In order to get business opportunities, many organizations started focusing on the development of flawless payment apps. But, to sustain in the market, it is evident for an organization to understand the challenges involved such as, existing cut-through competition, awareness amongst public about digital transaction, and other technical challenges like, security concerns, etc. Apart from these challenges, an organization has to understand the perceptions of users towards their business. The current Study focuses on a new Payment application i.e., WhatsApp Pay, wherein the characteristics of active users’ characteristics and perceptions differentiate adoption of WhatsApp Pay App to non-adoption of WhatsApp Pay in India has been analyzed. Since the company is one of the social media networking company entering into a new business. To analyze these facts, a primary data has been collected wherein youth across Hyderabad and Secunderabad were considered. The factors which effect the perception of users were Awareness and issues with regards to the Data Compliance techniques involved with regards to WhatsApp pay were considered. To analyze these, average response analysis has been applied. The study resulted that there is no significant impact on the awareness created and their perception towards WhatsApp Pay. The study also resulted that there is an impact on the data compliance issues which WhatsApp Pay had to come across in India.
Workplace Deviance: A Conceptual Framework
Authors:   Ph.D. Research Scholar, MNNIT Allahabad, Verma Utkarsh Kumar , Tripathi Dr. Ravindra ,   Associate Professor, MNNIT Allahabad, Narayana Ananta ,   Ph.D. Research Scholar, MNNIT Allahabad
Published: December 2019

Workplace Deviance defined as a planned, purposeful, and hateful attempt to disrupt an organization by causing problems in the workplace. Workplace Deviance splits into two parts i, e Interpersonal Deviance (ID), and Organizational Deviance (OD), respectively. ID is that which attempts to harm relationships through activities like lying, gossiping, and apportioning blame, and OD relates to lateness or theft of equipment. The present aim of the study is to observe vast literature existing online databases globally in the workplace deviance by systematically analyzing the empirical studies of the last 30 years. In India, minimal research has done in the area of deviant behavior. The purpose of the present study has tried to is a significant amount for organizations. Vast research is going on in the American continent to find out workplace deviance antecedent and try to minimize the effect at an organizational level. The method used in the present paper is constructed on secondary sources, and with the help of the VOS software online database of a web of science, a systematic review of workplace deviance has done and framed a conceptual model for further empirical research. After a comprehensive study researcher identified various antecedents of workplace deviance, such as job satisfaction, organizational justice, job design, and abusive supervision, are the main variables often used by researchers? Previous research has done on destructive deviance instead of constructive deviance. In recent trends, counterproductive behavior and psychological factor needed to study This study shows that organizations should discourage deviant workplace behavior by providing ethical organizational climate and practicing conducting proper counseling, refresher program for employees; also, an organization should form a personality assessment program at regular intervals to avoid individuals with negativity personality characteristics. In this context, relatively few studies have presented a thorough review of the literature. The current study frames a robust conceptual framework for the investigators and researchers by examining the vast essay on workplace deviance in Indian organizations.
Enhance the Security of Data Storage and Retrieval in Cloud Computing Through Authentication Based Encryption
Authors:   Dept of Information Technology, Bishop Heber College, Tiruchirappalli, Tamil Nadu, India,, Geetha* Dr.J.Sai
Published: December 2019

The digital computing infrastructure is rapidly moving towards cloud based architecture. The protection of data is becoming a difficult task in the current scenario as more and more confidential and sensitive data is stored in cloud environment and transmitted between cloud users. In a cloud computing environment, the entire data reside over a set of networked resources of remote servers and locations. These data has been accessed by unauthorized cloud users through virtual machines. To provide additional level of cloud data security, Biometric based authentication with encryption using public key cryptography is proposed in this paper. The proposed model Authentication Based Encryption (ABE) helps to enhance the security of data as well as the authentication of cloud user. The sensitive data is initially encrypted and then stored secretly with biometric finger print image. The resultant image is transmitted through the in-secured channel. However to avoid unauthorized access, the image is decomposed and stored in cloud separately as encrypted message and finger print. Before beginning the decryption process, the finger print of the cloud user is being compared with the stored image for authentication. If the match is found, the encrypted data is decrypted by the authenticated cloud user. Otherwise access to the data is denied to ensure security. Thus, the proposed framework provides an additional level of protection to public key algorithm with authentication.
Optimal Process Parameters to Achieve Maximum Tensile Load Bearing Capacity of Laser Weld Thin Galvanized Steel Sheets
Authors:   Assistant Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Deemed to be University, Green Fields, Vaddeswaram, Guntur-522 502, India., Harish* Mooli , Prasad* V Shnmukha ,   Assistant Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Deemed to be University, Green Fields, Vaddeswaram, Guntur-522 502, India., Reddy M B S Sreekara ,   Assistant Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Deemed to be University, Green Fieleds, Vaddeswaram, Guntur-522 502, India. Koora, Rajanikanth  ,   Assistant Professor, Department of Mechanical Engineering, CMR Technical Campus, Kandlykoya, Medchal, Hyderabad-501 401, India, Rao B Nageswara ,   Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Deemed to be University, Green Fields, Vaddeswaram, Guntur-522 502, India.
Published: December 2019

Steels are protected against corrosion through hot-dip galvanization in which material surfaces are coated with molten zinc. Galvanized steel products are reliable in coating life and performance with lower maintenance and repair cost. Welding of such zinc coated steel sheets is of great economic importance in the automotive industries. Many researchers have utilized the S/N ratio transformation while obtaining the optimal solution of several manufacturing processes. However, the additive law in Taguchi technique estimates the deterministic output response from the mean values of the ANOVA table and unable to provide the expected range of the output response. This paper deals with optimal process parameters for achieving maximum tensile load bearing capacity of laser weld thin galvanized steel sheets utilizing the concepts of a modified Taguchi design of experiments. Excepted range of the tensile load bearing capacity is provided for the specified laser process parameters. Empirical relation is developed and validated for the tensile load bearing capacity in terms of the laser process parameters viz., laser power, welding speed and focal point position.
Impact of Hrm Practices in Engineering Small Scale Industry
Authors:   Ph.D. Research Scholar, Barkatullah University, Singh* Astha
Published: December 2019

Workforce is the valuable asset for any organization in achieving organizational goals. In today’s era of globalization and technological innovation no organization can survive without effective HRM practices that recruit, select, train and retain the workforce of the organization. One of the important HR functions that decide the future of the organization is recruitment. In current scenario there is need to bring the change in old and traditional way of recruiting in small scale industries. Change is the part of any organization as it cannot disappear or dissipate. Managers and employees will be judged upon their abilities to manage the change effectively. The change or new ideology that can be introduced in recruitment is hiring the right person for the right job.Other factors that raises the organizational performance are remuneration. In this study researcher has used a structured questionnaire to collect the data. 211 respondents have responded to the questionnaire and SPSS (version22) is used for analysis work.
Discriminant Analysis: Classifying and Predicting Sexual Offenders
Authors:   AIIT, Amity University, Noida, (RDIAS), India., Kaur* Bhajneet , Ahuja Dr. Laxmi ,   AIIT, Amity University, Noida, India, Kumar Dr. Vinay ,   Ex Scientist & Professor, Vice Chairman (Cum Chairman Elec) CSI Delhi Chapter, CSI Delhi Chapter, India.
Published: December 2019

Crimes or offences against women have their major contribution to spoil the physical and mental health of women. There are varieties of techniques and methods exists, through which crime against women can be analysed and predict for preventing and controlling it. In this paper a model has been proposed to classify and predict sexual offenders for two categories of victim namely major and minor using multiple discriminant analysis. IBM SPSS 21, statistical software has been used to build model with 85.3% of accuracy rate to classify and predict the cases. Dataset of sexual offenders has been extracted from the Chicago police portal system. After the compilation of the dataset four attributes have been used in the current analysis namely age, height, weight and victim_type. Three variables are taken as independent variables and one variable namely victim_type used as a target variable as it has two categories i.e. minor and major. All the three independent variables have their contribution in the model building but with different contribution rates. By using the standardized beta and wilk’s lambda, ranking of contribution of independent variables has been generated. Age of the sexual offenders has contributed the most to predict sexual offender. The second ranked variable found as weight, its contribution towards prediction is higher than “Height” but lower than “Age”. The variable “Height” got third rank as low predictor to predict sexual offenders for victim types. The proposed model is very effective and would be used to implement or taken the different security measures in the various public or private places to prevent and control the various kind of sexual offences.
Icici Bank’s Performance and It’s Expenditure on Human Resources
Authors:   Ph.D. Research Scholar Department ofCommerce, Delhi School of Economics, University of Delhi, Meena* Mukesh Kumar
Published: December 2019

As we know in the 21st century all the organizations are facing competition. The service sector is the major contributor throughout the world economy. In the service sector employees play an important role. Because of the quality of service depends on the employees who are serving that service. In that support objective of our study is to trend in earnings of the organization and expenditure incurred on employees by the organization. ICICI is the leading public sector bank, so we have collected data from annual reports of the ICICI bank from the period of 2012 to 2018. After analyzing the data we found the correlation between total income of ICICI and expenditure incurred by ICICI on their employees. On the basis of this study, we conclude that employees play an important role in the organization. And organizations are just increasing expenditure on employees in the same trend of the organization's income. The organization should put employees on the balance sheet as assets. Organizations are still showing employees as expenditure. In coming future, if the organization will recognize employees' contributions that will lead to more satisfaction in the employees and this boost in satisfaction will improve the performance of employees due to that the overall performance of the organization will improve.
Radiation Characteristics of Dual Print Microstrip Patch Antenna using IE3D and CST Electromagnetic Simulation Software
Authors:   Research Scholar, Department of Physics, Bhagwant University, Ajmer, Rajasthan, India -305002 and Faculty in Department of Physics, Govt. Engineering College, Ajmer, India., Gunaram*  , Sharma Gaurav ,   Faculty in Department of Physics, Govt. Engineering College, Ajmer, India, Sharma* Vijay ,   Faculty in Department of Physics, Govt. Mahila Engineering College, Ajmer, India.
Published: December 2019

In this article the radiation performance of coaxial feed dual band dual print microstrip patch antenna using Electromagnetic simulation tool IE3D (Integral Equation Three-Dimensional) and CST-MWS (Computer Simulation Technology Microwave Studio) is offered and discussed. The attempt is made to compare the antenna parameters such gain, impedance bandwidth and radiation pattern from both the Electromagnetic Software. It is observed that both the software has their own pros and cons. However, the features available from the CST make it more feasible in comparison to IE3D. With the presented geometry a wide impedance bandwidth 5.62GHz (1.86-7.48GHZ) with sustained gain is achieved. The antenna radiation parameters are also found as desired. A brief comparison of various EM software is also given for the interest of the readers.
Improvement of Operational Performance through Value Stream Mapping and Yamazumi Chart: A case of Bangladeshi RMG Industry
Authors:   Operations and Business Analytics, University Science Malaysia, Penang, Malaysia., Kays* H. M. Emrul , Prodhan MD. Shohag ,   Mechanical Engineering, International University of Business Agriculture & Technology, Dhaka, Bangaldesh., Karia* Noorliza ,   Operations and Business Analytics, University Science Malaysia, Penang, Malaysia., Karim A. N. M. ,   Engineering and Built Environment, Griffith University, Queensland, Australia., Sharif Sazzad Bin ,   Mechanical Engineering, International University of Business Agriculture & Technology, Dhaka, Bangladesh.
Published: December 2019

To secure a competitive position in the global market, the Ready Made Garment (RMG) sector in Bangladesh has been facing various challenges including the improvement of industrial operational performance. Among the various operational issues, balancing the cycle time along the production line is felt to be a common and effective way for enhanced performance. There are numerous exact and approximate methods which have already been proposed and are available in literature for repetitive batch production. Unfortunately such approaches are rarely applied in the real RMG shop floor presumably due to the enormous efforts needed to align with the frequent changes of product lines. Compared to the exact and approximate methods, adoption of lean tools like VSM and Yamazumi chart is highly acclaimed for their simpler and wider applicability with superior capability in addressing and solving the balancing problems. So for balancing purposes of the RMG shop floor an attempt is made to frame and apply an integrated model combining the VSM and Yamazumi chart as presented in this article. Depending on the theoretical framework, operational performance of an RMG shop floor is evaluated upon balancing the cycle time. In doing so, firstly a current state map (CSM) and the corresponding Yamazumi chart are plotted to comprehend the existing operational procedure and analyse the workstation cycle time with respect to the takt time. Using the Yamazumi chart, the workstations are reorganized to reduce or eliminate the non-value added activities, to introduce parallel workstations, and to merge workstations so that a balanced production line is attained. Performance is then assessed by means of Overall Effectiveness of Equipment (OEE), Capacity Utilization and Efficiency. The results as obtained through testing a real life case study of RMG industry, ensure the effectiveness of the integrated system of VSM and Yamazumi chart to identify the wastes, restore the line balance and improve operational performance.
Iot(Internet of Things) Based Smart Device Network to Monitor and Control Urban Air Pollution
Authors:   currently working , CEO, Quaxar Technologies Private Limited., Mukherjee* Sourav
Published: December 2019

IoT(internet of things) are smart electronic devices connected through the internet. As time passes there are more IoT devices around us and the number can climb to an astronomical amount of 41.6 billion by 2025 as per reports [1]. The paper deals in modelling of an innovative IoT based system to cope up with urban air pollution. The system aims to act as an innovative ‘Quality Indicator and Preservation System for Air’(QIPSA). ‘QIPSA’ is a system with both hardware and software components. The hardware part consists of a large number of IoT electronic devices embedded near the roadside lamp posts to collect data in order to calculate local AQI. The software part involves in showing real-time pollutant & AQI data and involving in decision making to stabilise AQI. It can be used by regulating authorities to manage traffic efficiently such that the AQI(Air Quality Index) gets as low as possible. Civilians can use the system to decide their preferred route for daily works considering the AQI . The purpose of the system is to create a cost-effective hardware sensor network which provides real-time data and can be observed through a mobile application.
Analysis of the Structure of Scientific News Headlines in Online Newspapers
Authors: Younus Lina Laith
Published: December 2019

Newspaper headlines are described as compressed and ambiguous pieces of discourse that represent the bodies of the articles. Their main function is to provide the readers with an informative message they would have no prior idea about. Ifantidou (2009) claims that the function of a headline is to get the readers’ attention rather than providing information because it does not have to represent the whole of the article it refers to. This paper aims at examining this hypothesis in relation to scientific news headlines reported by a number of news agencies. The paper follows Halliday (1967) information structure theory by applying it on ten selected headlines; each two headlines represent one scientific discovery reported by different news agencies. One of them is presented by the most popular news agency on science; National Geographic then it is compared to one of the well-known news agencies like BBC, Reuters or Yahoo. The results showed that scientific news headlines are more informative than being just catchy headlines. It is also found that National Geographic news agency is more informative than any other agency because it is specialized in science. It is concluded that the more new information units a headline includes the less ambiguous it is for the readers.
Rapid Point-of-Care Influenza Testing for Patients in German Emergency Rooms – A Cost-Benefit Analysis
Authors: Diel Roland , Nienhaus Albert
Published: December 2019

Background: Each year, influenza causes significant morbidity and death worldwide and produces significant economic losses at the expense of the healthcare system.

Objective: To assess the cost-benefit relationship of implementing a rapid point-of-care (POC) influenza test in emergency rooms (ERs) of German hospitals.

Methods: A deterministic decision-analytic model simulated the incremental costs of using the Sofia® Influenza A+B test compared to those of using clinical judgement alone to confirm or exclude influenza in adult ILI (influenza-like illness) patients in German ERs prior to hospitalization. Direct costs, with and without subsequent oseltamivir treatment, were evaluated from the hospital perspective as well as indirect costs incurred by nosocomial influenza transmission to hospital employees.

Results: In base-case analysis, taking the influenza prevalence of 25.9% in the season 2018/2019 and assuming a hospitalization rate among influenza suspects of 21.9%, rapid testing with the Sofia® followed by administering oseltamivir to patients testing positive reduced average costs of hospitalized ILI patients by €52.16 per tested patient. If oseltamivir was not offered, testing with the Sofia® reduced costs by €42.28 in favor of the hospital.

In probabilistic sensitivity analysis, under all reasonable assumptions, implementing the Sofia® saved on average €119.89 as compared to applying the clinical-judgement-only strategy. The major part of the cost savings, €113.17 or 94.4%, was due to the POC test´s high specificity, which led to 91% reduction in needless bed-blocking on the first day of hospitalization. However, as the sensitivity of 75.3% was only slightly higher than that of conventional clinical judgement, improved classification of patients with true influenza and a correspondingly lower rate of illness in hospital employees could not be achieved.

Conclusions: Using highly specific rapid POC influenza tests in ILI patients at German ER, despite their sub-optimal sensitivity, may significantly reduce hospital expenditures.
Pathological damage of bones and joints in patients on hemodialysis in Saint Petersburg
Authors: Tsed A. N. , Smirnov A. V. , Dulaev A. К. , Rumyantsev A. Sh. , Ananyev A. N.
Published: December 2019

BACKGROUND. The number of patients with end-stage renal disease is steadily increasing. One of the main complications arising from the disorders of calcium-phosphorus metabolism in patients on hemodialysis is various types of renal osteodystrophy. The frequency of pathological fractures among patients receiving renal replacement therapy is twice as high as in the general population. The prevalence and structure of injuries, especially the diagnosis of injuries of the musculoskeletal system in hemodialysis patients, are not well understood. THE AIM: to determine the prevalence and structure of injuries and the consequences of pathological injuries of bones and joints undergoing hemodialysis in Saint-Petersburg. To achieve this goal, the authors developed a special questionnaire, consisting of 4 blocks, including 32 questions.

PATIENTS AND METHODS. An analysis of questionnaires of 798 patients from 15 hemodialysis centers of Saint-Petersburg was carried out.

RESULTS. A number of problems were identified, such as insufficient coverage of patients not only with specific instrumental examination methods (MSCT, MRI), but also with radiographic ones. Satisfaction with quality of life and physical activity was noted in less than half of patients. 46.4% had a history of fractures and injuries, while the proportion of operated patients was half that, which indicates the need for more active work of hemodialysis centers with city hospitals with traumatology and orthopedic departments.

CONCLUSION. Patients on HD require regular x-ray examination and densitometry to detect pathological damage to bones and joints. Based on the results of these studies, it is advisable to consult a traumatologist at least 1 time per year.
Inhibitors of canonical Wnt signaling pathway and inorganic phosphate imbalance in experimental chronic kidney disease
Authors: Bogdanova E. O. , Beresneva O. N. , Zubina I. M. , Ivanova G. T. , Parastaeva M. M. , Galkina O. V. , Kayukov I. G. , Dobronravov V. A.
Published: December 2019

BACKGROUND. The molecular mechanisms of the initial stages of inorganic phosphate (Pi) metabolic disorders in chronic kidney disease (CKD) remain poorly understood.

THE AIM. To test the hypothesis about changes in canonical Wnt signaling pathway inhibitors biosynthesis and a concomitant decrease in bone turnover as one of early mechanisms of Pi imbalance in CKD.

MATERIAL AND METHODS. Creatinine (Cr), inorganic phosphate (Pi), serum parathyroid hormone (PTH), fibroblast growth factor 23 (FGF23), osteoprotegerin (OPG), sclerostin (SOST) and Dickkopf-1 (DKK), renal SOST and DKK mRNA expression, albuminuria (Alb), proteinuria (uTP) levels, fractional (FEPi) and daily (uPi24) Pi excretion were analyzed in SHR rats (N = 52) with 3/4 nephrectomy (NE) or sham operation (SO) and observation periods of 2, 4, and 6 months.

RESULTS. Experimental model was comparable with 1-2 stages of CKD. In groups NE4 and NE6, the concentration of sPi and renal Pi excretion (FEPi and uPi24) were significantly higher vs corresponding controls SO4 (p = 0.006, p <0.010) and SO6 (p = 0.002, p = 0.028). Serum concentrations of FGF23 and PTH in NE and SO animals did not change significantly. In NE4 and NE6 groups, serum SOST and DKK concentrations were significantly higher vs controls (p <0.049, p <0.043), while the kidney expression SOST and DKK mRNA in NE rats did not change significantly or decreased (p = 0.002, p <0.011). The serum concentration of OPG was higher in the NE6 vs SO6 control (p = 0.028).

CONCLUSION. The initial stages of experimental CKD are characterized by an increase in serum concentrations of Dikkopf-1, sclerostin and osteoprotegerin. The obtained data suggest the possible role of canonical Wnt signaling inhibition and reduction of bone turnover in the pathogenesis of Pi metabolic disorders in early stages of CKD.