Offline printed Sindhi optical text recognition: survey

Optical Charter Recognition (OCR) applications are becoming more intensive than before and show great prospective for rapid data entry, but has limited success when applied to the Sindhi language. This paper summarize the general topic of optical character recognition and highlights the characteristics of Sindhi script. It also presents an historical review of the Sindhi text recognition systems. More this paper underlines the capabilities of different OCT=R systems, and then introduce a five stage model for off-line printed Sindhi text recognition system and classify research work according to this mode

Review on Natural Language Processing (NLP) and its toolkits for opinion mining and sentiment analysis

As the majority of online networking on the Internet, opinion mining has turned into a fundamental way to deal with investigating such huge numbers of information. Different applications show up in an extensive variety of modern areas. In the interim, opinions have various pronunciations which bring along investigate challenges. The research challenges make opinion mining a dynamic research region recently. In this paper, Natural Language Processing (NLP) techniques for opinion mining and sentiment analysis are reviewed. Initially NLP is reviewed then briefed about its common and useful preprocessing steps also. In this paper opinion mining for various levels are analyzed and reviewed. At the end issues are identified and some recommendation are suggested for opinion mining and-sentiment-analysis

The future of data privacy and security concerns in Internet of things

A global, immersive, invisible, ambient network computing environment built through the continued proliferation of smart sensors, cameras, software, databases,and massive data centers in a world-spanning information fabric known as the Internet of Things. The idea is to live in connected world. Altogether varieties of connected objects from smart home appliances like televisions, laundry machines,thermostats, refrigerators to Industrial Internet of Things (IIoT) and Internet of Medical Things (IoMT) are going to conserve the potential of IoT connectivity in all paces of future smart world. However, it has high importance to preserve adherence of enormous benefits of IoT connectivity, which might lead to unseen security and privacy issues and vulnerabilities that will cause various malicious attacks including waterhole, ransomware, eavesdropping, and others to exploit the potential of smart objects. This paper will present and forecast advanced concepts for end-to end security and privacy issues in a highly distributed, heterogeneous and dynamic network of IoT devices, which may reveal a holistic approach of device identification, authentication, and management, security, and privacy concerns

Social commerce in e-business of Pakistan: opportunities, challenges and solutions

social media make ultimate building blocks in the development of novel approaches in e-business of Pakistan with the conjuncture of Web 2.0 social media has a variety of application domain including social commerce. S-commerce is redesigning modern e-business with promising economic technological and social outcrop. Customers keep their expectations higher always, so precisely all business are trying to exceed the customers' expectations with pre and post-sale interaction on social networking sites like face book or Twitter accounts. Customers can interact, look and compare company products, reviews and feedback in their social circle friends of friends of friends. This paper proposes a survey about prospects of social commerce in e-business of Pakistan. In addition, this paper would proposes research framework for foster future e-business opportunities, challenges and provide a solution to build up buyers trust as well as to enhance the interactive online buying process in local e-business of Pakistan using social media

Revised and extended social commerce technology adoption in e-business of Pakistan

Social commerce is a new perspective change in modern electronic business procedures bringing together individuals on social media sites and opens up another electronic social marketing channel to establish business. In developing countries like Pakistan, e-business can help organizations using social commerce and social marketing intelligently on particular social network sites to grasp their business clients while they are interacting with their online community on the social media sites. This study investigated consumers’ behavior towards adoption of social commerce and introduced a revised and extended social commerce technology model. The investigation proved the proposed model is valid by confirming loading factor, Kaiser-Mayer-Olkin (KMO), reliability analysis, and structural equation modeling approach for hypotheses tests. The study found Perceived Ease of Use (PEU), Perceived Usefulness (PU), Social Media Influence (SMI), and Risk (RI) have significant impact on social commerce adoption in e-business of Pakistan. More, Trust (TR) and Web experience (WXP) were insignificant that revealed the preventive behavior towards adoption of social commerce in e-business of Pakistan

An empirical study of Internet of Things (IoT) - based healthcare acceptance in Pakistan:pilot study

The motivation behind the study is to incorporate Health Belief Model (HBM) and Unified Theory of Acceptance and Use of Technology (UTAUT) model alongside trust and doctor-patient relationship keeping the ultimate objective to investigate the affirmation of IoT-based health services framework. In order to understand technological, and clinical context the proposed framework of this study is a synthesis of UTAUT, and HBM theories respectively, finally trust and doctor-patient relation factors are used to measure individual and patients' perspective about IoT-based health care systems. The proposed framework is validated with a pilot study of 40 respondents from five thickly populated cities of Pakistan. The findings verified that the proposed framework is appropriate to implement with empirical data. Based on the confirmation of the most familiar both theories, in health framework, this study demonstrates Perceived Health Risk which is composed of two independent factors, Perceived Susceptibility (PSS) and Perceived Severity (PS) have a significantly positive effect on cues to action. While in a technological context, Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC) have a jointly significant positive effect on cues to action to use behavior. Furthermore, both trust and doctor-patient relationship have also a positive effect on cues to action to use behavior. The instrument questionnaire adopted cluster sampling, and structural equation modeling (SEM) to validate and test the hypotheses. The findings may be used and generalized to other similar population as a theoretical basis to improve the health care services of developing countries like Pakistan

A Combined CFD-Response Surface Methodology Approach for Simulation and Optimization of Arsenic Removal in a Fixed Bed Adsorption Column

An experimentally validated CFD model was developed for lab-scale arsenic (As) fixed-bed columns using COMSOL Multiphysics. The effects of key factors such as the adsorbent bed depth, the feed flow rate, and the initial As concentration (conc.) on the overall As removal performance were investigated. Subsequently, the CFD was combined with response surface methodology (RSM) to optimize process conditions and examine main and interaction effects of these factors on model responses, i.e., the As removal efficiency and the bed saturation time. The ANOVA results suggested that quadratic regression models were highly significant for both responses. The established regression model equations predicted the response values closer to CFD measurements. It was found that, compared with the initial As conc. and the feed flow rate, the effect of the bed depth was more significant. Moreover, both the As removal efficiency and the bed saturation time were increased reasonably with the increasing bed depth and decreased with the increasing feed flow rate and initial As conc. The optimum conditions for the As removal process were obtained as the bed height of 80 cm, the initial As concentration of 2.7 mmol/m3, and the feed flow rate of 1 L/min. The present combined CFD−RSM approach is a useful guideline in overall design and optimization of various lab-scale and industrial applications for removal of As from wastewater

Adoption of social commerce: An empirical analysis in the context of Pakistan

Businesses are utilizing social media extensively to increase the opportunities for traditional and online businesses. However, the driving factors affecting both consumers’ and proprietors’ behavior are not well investigated so far in the context of developing countries like Pakistan. Persuading extended social commerce technology acceptance model (TAM) theory and theory of reasoned action (TRA), this paper investigates behavioral intention to use social commerce. The quantitative exploratory research approach was applied to accomplish the explicit research aims and objectives using the survey data from 2019 respondent consumers/firms active in six metropolitan cities of Pakistan. The study findings indicate a significant positive influence on behavioral intention to adopt social commerce is appraised with a greater level of perceived ease of use, usefulness, social influence, and risk factors. In the conclusion, this paper discusses research implications and utilization of the most recent ICT advancements helping business people and investors develop new commerce procedures and processes

Factors affecting Successful Implementation of eLearning: Study of Colleges and Institutes Sector RCJ Saudi Arabia

The colleges and institutes sector Royal Commission Jubail (JCIS) represents four higher educational institutes namely, Jubail University College (JUC) for male and for female, Jubail Industrial College (JIC), and Jubail Technical Institute (JTI). All of the institutions are under one patronage General Manager of JCIS. Several courses are very similar in content and delivery offered at all institutes. ELearning is the ideal form of delivery for higher education students in JCIS. This study aims to explore the specific factors affecting successful implementa-tion of eLearning as major barriers at JCIS. This research will extend the existing theoretical model Technology Acceptance Model (TAM) and develop an extend-ed model of eLearning for successful implementation and adoption of eLearning solutions at colleges and institutes sector of Royal Commission Jubail. The study will attempt to investigate the various barriers those affect the successful imple-mentation of eLearning in the sector. It is also expected that this research study will provide strategies for academicians in the development and implementation of online courses. In this research study, quantitative research approach would be applied which may utilize instrument survey questionnaire (for students, teachers, and management) from all colleges and institutes of the sector