International Journal of Innovations in Science & Technology
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Hedonism and Repurchase: Determining Value for Money and Repurchase Intentions in Mall
Get PDFThis research determines, how the customers intend on buying and how their perceptions of currency values are affecting their shopping experiences in Pakistan To do so, a questionnaire with a sample size of 360 respondents. To achieve the research objectives, a quantitative investigation was conducted. Information was gathered from malls and a few supermarkets in Multan. According to this study, a buyer’s repurchase represents found a key indicator of their status, amusement, idea, and level of satisfaction. The association between the study and the social value of the currency was found negative. However, no correlation was found between exploration and intention of purchase in the proposed study area. Furthermore, the outcome of this study showed that the value of the currency was positively influenced by repurchase objectives. This research presented novel perceptions on the nature of hedonism, repurchase intention, and the emergence of more engaging shopping strategies encouraging consumers to enjoy their goods in depth. Interventions of the study revealed an entertaining shopping mechanism with more valuable and happy footsteps. By providing a large variety of fresh things i.e., a greater selection of products, friendly sales employees, interesting shopping areas, regular access to shopping information, and a high level of service, it is recommended to boost the recreational and practical elements of shopping. The analysis showed the number of customers could steadily rise in future who repurchase the product
A Survey Paper on ASCII-Based Cryptographic Techniques
Get PDFWith the passage of time networking field has become much more advanced. Because of this advancement, the communicating parties don\u27t want to rely on the third party for communication because a third party may misuse or share their personal information with someone else. That’s why there is a need for such a method at which we can rely on secure communication. In recent years a lot of cryptographic techniques based on ASCII values have been proposed, but selecting an efficient and effective technique from them is a big task. In this paper, we have made a comparison among several techniques based on certain parameters to find out the best one for the ease of the users
Spatio-Temporal Dynamics of Nitrogen Dioxide (NO2) Concentration & its Impacts on Human Health (2010-2022)
Get PDFNitrogen is one of chemical gases which has drastic impact on human health. It is also renowned globally as a major component of climate change. Lahore city has been selected as the study area to conduct this research. The basic objective of this study is to assess the temporal and seasonal change of Nitrogen Dioxide (NO2) concentration in the study area and its effects on human health. For this purpose, the two-phase methodology has been adopted. In the first phase, primary and secondary datasets were collected through an online questionnaire and Environmental Protection Agency (EPA), respectively, while in the second phase, satellite imageries were acquired from NASA Earth Observatory (NEO). An online questionnaire survey was conducted for a better understanding and assessment of NO2 effects on inhabitants. The interpolation technique was applied to show a temporal change in Concentration of NO2 from 2010-2022 and for seasonal change in 2022. Findings of this research showed that NO2 levels are high during winters as compared to summers. Whereas, temporal analysis from 2010-2019 revealed that high dense columns of NO2 were found in 2019 & 2020 and less dense columns were found in 2019, whereas this concentration declined due to the arrival of COVID from 2020 to the end of 2021. The main reason of this decline is the lack of transport or industrial exhaust due to lockdown by COVID. The results of the questionnaire indicate that people encountered diverse health problems due to long- and short-term exposure to NO2. Moreover, this study helps to display the drastic impacts of NO2 concentration on human health and the natural environment
Pain Management in Opioids Users without Use of Medicines
Get PDFNotable researchers tell us about acute pain management in opioid users and how it works and which drug group works effectively in them. The purpose of our study is to manage pain in opioid users during detox without the use of Analgesics. An experimental study is conducted among 36 male patients in the age group of 25 to 55 from Punjab, Pakistan. The purposive sampling technique was used in the collection of samples due to limited resources. We divided these samples into 3 different groups (medication, placebo, and physiotherapy) and after doing treatment according to their group we get the results through a self-report inventory. Most rehabilitation centers used analgesics to relieve symptomatic pain management but the problem is the drug-seeking behavior of opioid users. Data was analyzed by using SPSS version 26. Of 12 patients in the placebo group only 25% feel better through a placebo treatment plan and in the analgesic group 75% of patients feel relieved and in the physiotherapy group, 66% of patients feel relieved. As a result of this, we concluded that physiotherapy can also play role in the rehabilitation process of opioid users and helps to minimize their drug-seeking behavior. Our research concludes that a positive but weak association between placebo in opioid pain management is present while strong but less association between physiotherapy in opioid users then analgesics
Reliability Awareness Multiple Path Installation in Software Defined Networking using Machine Learning Algorithm
Get PDFLink failure is still a severe problem in today\u27s networking system. Transmission delays and data packet loss cause link failure in the network. Rapid connection recovery after a link breakdown is an important topic in networking. The failure of the networking link must be recovered whenever possible because it could cause blockage of network traffic and obstruct normal network operation. To overcome this difficulty, backup or secondary channels can be chosen adaptively and proactively in SDN based on data traffic dynamics in the network. When a network connection fails, packets must find a different way to their destination. The goal of this research is to find an alternative way. Our proposed methodology uses a machine-learning algorithm called Linear Regression to uncover alternative network paths. To provide for speedy failure recovery, the controller communicates this alternate path to the network switches ahead of time. We train, test, and validate the learning model using a machine learning approach. To simulate our proposed technique and locate the trials, we use the Mininet network simulator. The simulation results show that our suggested approach recovers link failure most effectively compared to existing solutions
Role of Agile Methodologies for Ensuring Quality in Complex Systems: A Systematic Literature Review
Get PDFIn software development, the selection of a software process model set the base for the success of a software product. An inappropriate selection may lead to a delay in project release, introduce defects and make the project difficult to update. This lack of quality characteristics may lead to the risk of losing customer expectations as well as the failure of the project itself. In the case of complex systems, the problems become more severe. To meet such expectations, agile methodologies are used to ensure quality in software and meet customers’ expectations. There is currently no literature that gives insights into the role of agile methodologies in ensuring quality in complex systems. The purpose of this paper is to evaluate the effectiveness and the impact of agile methodology in achieving the quality of complex systems.
For this, we perform a Systematic Literature Review (SLR) and define a review protocol. By performing a thorough search and screening, we selected 39 papers related to agile methods and complex systems. Our analysis shows that complex systems have various requirements of quality attributes some of the complex systems mainly focus on security, reliability, and efficiency whereas other emphasizes safety, response time, and maintainability. Our analysis also shows that agile methodologies are widely used for the development of complex systems because ensuring the quality requirements of complex systems is not possible with the use of traditional methods of software development
The Significance of Cognitive Distortions and Risk Factors Due to Android Games Addictions for Adults
Get PDFBackground:
The primary purpose of this study is to find out the Significance of Cognitive Distortions and Risk Factors due to Android Game Addiction for Adults.
Methods:
The research population includes three main parameters Physical Effects, Mental Effects, and, Cognitive Effects each part contains 10 questions. The sample comprises 200 school students (male=150, females=50) between the ages of 8 to 20 years recruited from schools in Lahore, Pakistan. A total of 200 copies of the Questionnaire are distributed among the students. Only 180 copies are received and filled so the total response rate of the data collection was 90%. The SPSS tool was used to analyze the results of the Questionnaire. It aims to investigate the impacts that Android Games have on adults. As most of the researchers have done Quantitative research in this area, so I decided to conduct both Quantitative and Qualitative research designs which can help us get a deeper understanding of Android Game Addiction.
Findings:
By going through the results, it is revealed that the all above-mentioned three main parameters are found positive in adults. According to the range of the frequency, it is concluded that all three factors are in the medium range not more harmful.
There was a strong positive association between the addictions of students to Android mobile games and their physical and mental well-being in terms of physical, mental, and cognitive health
Enterprise Network Infrastructure Malicious Activity Analysis: Malicious Activity Analysis
No full textInter and intra-network connectivity have become a useful resource for accessibility and flexibility of data for different organizations. Online services are increasing day by day, everything is available online, it generates a huge amount of data, that require cyber security revolves for ensuring secure interconnectivity between devices. Because of an exponential increase in internet users and cyber-attacks, the data security and credibility of various organizations is on stake. In the continued development of the threat environment, cyber security experts deal with numerous threats on daily basis. As multiple attacks on computer networks and systems are becoming stronger each day therefore current security tools are often inadequate to resolve issues relating to unauthorized users, reliability, and reliable network security. To maintain a safe environment, Intrusion-Detection Mechanisms (IDS) enabled to control device functions and detect intrusions should typically be used to supplement with other protection strategies; for which conventional security methods are inadequate. Actual users expect their requested information to be processed in real-time, while malicious traffic needs to be mitigated just as quickly as possible. As traffic increases, this problem becomes more complex. This paper contributes a detailed analysis of network packets to find anomaly detection based on the UNSW NB 15 dataset and investigate the the difference between IP packet behavior for both malicious and legitimate packets. Besides we acquaint with new methodologies to illuminate and appraise the network attack in a very proficient way using different machine learning algorithms which will accomplish locating the malicious traffic in the least execution time with precision
Design and Implementation of Autonomous Trolley with E Billing
Get PDFShopping became one of the most important tasks that people conduct on a daily basis. A mart is a place where various things can be purchased within a roof. Customers must patiently wait in lengthy lines, especially on weekends, until it is their turn. Due to people\u27s busy schedules, this is a time-consuming process that leaves them exhausted and dissatisfied with the services provided at the checkout counters. We proposed and implemented an autonomous trolley with an electronic billing system. The proposed and developed system is separated into two sections, the first section consists of RFID tags and camera-based product scanning and detection, while the second section consists of bill generation and e-payment. The second output is of a shopping receipt, which was printed using a thermal printer effectively, and smart trolley-based bill detection will be accomplished. This self-billing is a new technology that can present us with numerous advantages. Currently, everyone is familiar with e-payments, and because our system is also based on direct bank transactions. This smart trolley-based bill detection will ultimately be accomplished through the user\u27s bank and Jazz Cash. Automated trolley systems are designed to provide customers with knowledge about their collected items and decision-making abilities based on prior purchase patterns in order to ensure a hassle-free shopping experience.
The Impact of Language Syntax on the Complexity of Programs: A Case Study of Java and Python
Get PDFProgramming is the cornerstone of computer science, yet it is difficult to learn and program. The syntax of a programming language is particularly challenging to comprehend, which makes learning arduous and affects the program\u27s testability. There is currently no literature that definitively gives quantitative evidence about the effect of programming language complex syntax. The main purpose of this article was to examine the effects of programming syntax on the complexity of their source programs. During the study, 298 algorithms were selected and their implementations in Java and Python were analyzed with the cyclomatic complexity matrix. The results of the study show that Python\u27s syntax is less complex than Java\u27s, and thus coding in Python is more comprehensive and less difficult than Java coding. The Mann-Whitney U test was performed on the results of a statistical analysis that showed a significant difference between Java and Python, indicating that the syntax of a programming language has a major impact on program complexity. The novelty of this article lies in the formulation of new knowledge and study patterns that can be used primarily to compare and analyze other programming languages