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

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

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

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

Overview of Disaster Preparedness and Response Strategies Regarding COVID-19 Crisis Control for Public Safety and Health Protection

The ongoing Coronavirus Disease 2019 (COVID-19) outbreak has incurred tremendous human, social, and economic costs, globally. Major economies across all continents are struggling to contain the COVID-19 pandemic and to flatten the infected curve.  This study focuses on critically reviewing the strategies opted globally to control COVID-19. The main objective of this paper is to overview the pandemic conditions, responses of the public, and actions of the governments with  the  aim to  highlight  the  importance  of  public health  preparedness  and  risk  management  strategies. The current study    uses    an    organized    method    of    locating,    assembling, summarizing, and evaluating the literature on COVID-19 control strategies adopted in different countries. It overviews the conditions of the COVID-19 pandemic in the countries hardest hit by it. The study uses the systemic literature review method to overview, summarize, and organize the literature regarding COVID-19 spread control strategies. A comprehensive Disaster Management and Response System (DMRS) strategy can be productive in limiting the pandemic spread and may also help to flatten the curve. The current study,  based  on  the  experiences of different  countries,  frames  a DMRS  strategy  to  contain  COVID-19  which  includes immediate government intervention, early recognition of the crisis, removal of cognitive  and confirmation biases,  political  and  religious biases, consensus development,  establishment  of a central  command  and control   center,   public   engagement,   integration   of   institutional functioning  using  ICT,  maintaining the medical  supply  chain, limiting  public  mobility  and  mass  gathering,  practicing  social distancing,    quarantining    and    isolation,    clear    and    effective communication for information dissemination, massive testing, and the use of ICT for information sharing, alerting, contact tracing and surveillance

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

Analysis of the Impact of Economic Policy Uncertainty on Environmental Sustainability in Developed and Developing Economies

The literature on the impact of policy uncertainty on climate change has grown rapidly in recent years as policymakers and researchers have become increasingly concerned about the potential adverse effects of policy uncertainty on environmental sustainability. This study aims to investigate the impact of economic policy uncertainty (EPU), GDP per capita, renewable energy consumption (REC), and foreign direct investment (FDI) on environmental sustainability from the perspectives of the environmental Kuznets curve (EKC) and pollution halo/haven hypotheses. The research employs panel data analysis techniques, including panel corrected standard errors (PCSE) and generalized least squares (GLS), to analyze the data from a panel of 19 developed and developing countries from 2001 to 2019. The results reveal that EPU, GDP per capita, REC, and FDI significantly impact GHG emissions, contributing to climate change. The results of the study confirm a U-shaped EKC and pollution haven hypothesis in the selected economies. The findings of this study provide valuable insights for policymakers, as they highlight the need to consider the interplay between economic growth, foreign investment, and environmental policy in addressing climate change. The results also suggest that reducing policy uncertainty and promoting sustainable economic growth can mitigate the effects of climate change and ensure environmental sustainability

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

Sustainable and Special Economic Zone Selection under Fuzzy Environment: A Case of Pakistan

The establishment of Special Economic Zones (SEZs) is a lengthy, expensive, and long-term orientated endeavor. Proper selection of SEZs is indispensable to meet the objectives of export-led growth and value up-gradation. Consideration of sustainability issues in such planning under the Zone 3.0 paradigm is critical to achieve Sustainable Development Goals (SDGs) by 2030. Multiple key factors such as location, linkages, labor force, suitability of industries, incentives and facilitation, and market orientation are important in decision-making process of establishing SEZs. Furthermore, environmental conditions and resource availability need to be considered in the planning and policy making processes to keep symmetry in the natural environment and ecosystem of the areas under consideration for SEZs. The present study uses Multi-Criteria Decision Analysis (MCDA) methods in the perspectives of green industrial zone planning and development in Pakistan under the flagship project of China-Pakistan Economic Corridor (CPEC) of China’s Belt and Road Initiative (BRI). This research uses Delphi method, Analytical Hierarchy Process (AHP), and the Fuzzy Vlse Kriterijumska Optimizacija Kompromisno Resenje (VIKOR). The Delphi method has been used to identify the main criteria, sub-criteria, and their weights for 3 SEZs under consideration. The results of AHP analysis unfolded that the majority of the experts believe the location and land aspect is the most pivotal criteria in setting SEZs followed by linkages, subsidies, and facilities criteria. Finally, the results of Fuzzy VIKOR analysis considering environmental sustainability reveals that Faisalabad SEZ is the best suited under given criteria and sub-criteria