Adolescent Violence: Proneness Factors of Victims

Introduction: Approximately three-quarters of adolescents experience some type of victimization, either in school or as a whole in society. Their mental acumen is not strong enough due to various reasons to resolve this age-related crisis and pushing them in a web of stress. The attitude of victim is influenced by his self-social image, personality and behavior which provide the space to the perpetrator of the offence. Materials and Methods: A cross-sectional survey, using a pretested self-report questionnaire was conducted on 960 students aged 10–18 years of urban schools regarding the indulgence in violence as victims during the last one year.Observations: The prevalence of victimization was 18.33% while in male and female it was 59.09% and 40.90% in their respective groups. Parents possessing education less than high school produce the highest numbers of victims. 65.34% victims were staying with both parents and 19.88%, 63.63%, 55.11% and 35.79% were in habit of smoking, alcohol and tobacco use respectively.Discussion and Conclusion: Research studies have shown that the behavior can be modified and the proneness factors can be reduced or eliminated. Every child’s individuality should be appreciated for the value, rather than suppressed to reduce the risk of victimization. Not all children are able to alter their personal characteristics that may place them at increased risk. To benefit the society, the segregation and counselling of such students at school level is the only answer of this problem

Self-Configuration and Self-Administration of Wireless Grids

A Wireless Grid is an augmentation of a wired grid that facilitates the exchange of information and the interaction between heterogeneous wireless devices. The ability of various grid layouts to handle interactions among the grid constituencies is contingent upon the efficient resolution of multiple technical challenges of the grid. These challenges arise due the added complexities of the wireless grid such as the limited power of the mobile devices, the limited bandwidth (including partial connectivity), and the increased dynamic nature of the interactions involved. This paper focuses on the configuration and administration issues of the wireless grid. The proposed grid topology and naming protocol can allow self-configuration and self-administration of various possible wireless grid layout

Sponsored Search: Do Organic Results help or hurt the Performance and under what conditions?

We study the relative impact of competing links in organic and sponsored search results on the performance of sponsored search ads. We use data generated through a field experiment for several keywords from the ad campaign of an online retailer. Using a hierarchical Bayesian model, we measure the impact of competition on both click-through rate and conversion rate of sponsored search ads for these keywords. We find that the competitor links in organic results have a higher impact on the performance as compared to the competitor links in sponsored results. We also find that competition has a greater influence on the conversion performance as compared to the click through performance. Our results inform advertisers on the impact of organic results on their performance. Our results reveal inefficiency in the current auction mechanism as the click performance may not reveal the true relative quality of advertisers

A Comprehensive Review of the GNSS with IoT Applications and Their Use Cases with Special Emphasis on Machine Learning and Deep Learning Models

This paper presents a comprehensive review of the Global Navigation Satellite System (GNSS) with Internet of Things (IoT) applications and their use cases with special emphasis on Machine learning (ML) and Deep Learning (DL) models. Various factors like the availability of a huge amount of GNSS data due to the increasing number of interconnected devices having low-cost data storage and low-power processing technologies - which is majorly due to the evolution of IoT - have accelerated the use of machine learning and deep learning based algorithms in the GNSS community. IoT and GNSS technology can track almost any item possible. Smart cities are being developed with the use of GNSS and IoT. This survey paper primarily reviews several machine learning and deep learning algorithms and solutions applied to various GNSS use cases that are especially helpful in providing accurate and seamless navigation solutions in urban areas. Multipath, signal outages with less satellite visibility, and lost communication links are major challenges that hinder the navigation process in crowded areas like cities and dense forests. The advantages and disadvantages of using machine learning techniques are also highlighted along with their potential applications with GNSS and IoT

Online Retailer vs. Click and Mortar Retailer: Who Performs Better?

Retail business is characterized by different business models: pure-play model and dual channel approach, which uses both physical and online channels to reach customers. There is conflicting evidence regarding the relative value of these business models to the consumers. We take a market valuation approach to evaluate the relative merits of both business models. We consider a panel of publicly traded US retailers and evaluate how their sales performance impacts their Tobin’s q. We find that the dual channel retailers receive a market premium for their sales revenue as compared to the pure-play retailers. This higher valuation can be associated with higher customer satisfaction with dual channel firms leading to a higher intangible value as compared to the pure-play firms. Our results have important implications for retailers as we demonstrate the value of different channels. Our work also contributes to the existing literature on online consumer retailing and multichannel research

Adolescent Violence through Technology in India

Introduction: The shift from the physical to virtual communication has been emerged as a vital platform to interact through technology. Apart from the positive influences, it is also affecting the adolescents in negative manner which leads to various health hazards. All governments are committed to the ambitious sustainable development agenda and its goals, in particular SDG target 16.2 to end abuse, exploitation, trafficking and all forms of violence against and torture of children. Despite the alarming situation and commitment, there is apathy towards coining the specific laws against cybercrime amongst adolescents.Methodology: A questionnaire based cross-sectional survey method was used for data collection from the adolescents who are using mobile phones since last one year and presented in outdoor pediatric department. The study was also conducted in two schools from urban and rural locations at Lucknow district during study period.Results: In the studied population of 900 students, the maximum students 606(67.3%) were from 16-18 years of age and simple mobile users were more 505(56.1%) in number when compared. the prevalence of bullied students were females 269(29.8%) and males 381(42.3%). Maximum bullied students were of age 16-18 years. As per the mode of assault sending inappropriate SMS 378 (58.1%) on mobile was outrageous than any other method. The assault was shared mainly with friends.Conclusion: Our results reflect that the prevalence of violence amongst adolescents have reached up to a point of saturation where it is mandatory to correct their attitude to avoid any unwanted happening. Apart from the surveillance of the mobile use this is our prime duty to monitor the activities of teens on internet and develop safe cyber space

DAB: Transmitter, Receiver and SVM Classifier

The aim of this thesis is to implement a Digital Audio Broadcast (DAB) system in base-band. In this work I designed a DAB transmitter for mode II, following the ETSI standards for DAB transmitter was designed. This mode has been chosen for simulation because of its suitability in the local area terrestrial broadcasting and to be a model that presents other transmission mode implementation. The physical modulation part of the DAB for transmission modes II as well as its receiver is implemented. The prime focus of this thesis is on the reception side. In the receiver side, receiver synchronization has been implemented and a new classification method for the QPSK mapping proposed. Support vector Machine (SVM) is used as a QPSK Classifier and as a channel estimator for DAB system. It uses the continuous learning algorithm, for training and testing. This learning algorithm needs one-time training for the classification of first DAB symbol, and for the remaining symbols the system learns the pattern from the previous symbol estimated by classifier. A frame-based processing was used in this study. Performance studies for AWGN and Rayleigh channels have been conducted. Bit error rate (BER) has been considered as the performance index. The result obtained showed that the implemented system work successfully in AWGN channel. For Rayleigh fading channel, the system performance is desirable in urban area, below the speeds of 50-70 Kmph of the receiver. All the simulation work is implemented using the Microsoft Windows Operating system and MATLAB