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An improved co-training approach for document Sentiment classification
Jawad Khan(자와드 칸),Aftab Alam(아프타 발람),Muhammad Numan Khan(무함마드 누만 칸),Irfan Ullah(이르판 울라),Muhammad Umair(무하마드 우매르),Umair Qudus(구두스 우매르),Tariq Habib Afridi(타리크 하비브 아프리디),Sung Soo Park(박성수),Young-Koo Lee( 한국정보과학회 2020 한국정보과학회 학술발표논문집 Vol.2020 No.7
Nasir, Muhammad Tauseef,Ali, Muhammad Ansab,Khan, Tariq S.,Al-Hajri, Ebrahim,Kadri, Muhammad Bilal,Kim, Kyung Chun Elsevier Sequoia S.A 2019 Energy and buildings Vol.191 No.-
<P><B>Abstract</B></P> <P>Present work aims to investigate the thermal performance assessment of different combinations of working fluids for an Organic Rankine Cycle powered Vapor Compression Cycle (ORC-VCC) for air-conditioning applications. Analysis of system performance is conducted for a fixed cooling load of a small conditioned space having a sensible heat factor of 0.7, at different ambient conditions. A preliminary evaluation of the system at the baseline conditions was conducted considering the second law efficiency, overall heat capacity of exchangers, overall internal exergy destruction, and overall Coefficient of Performance. Afterwards, parametric study was performed for the best performing candidates from the preliminary analysis using second law efficiency and overall heat capacity of heat exchangers. The system parameters considered for the study include saturated temperatures of heat exchangers, ORC boiler superheat, pinch points and the sub-cooling of both the ORC and VCC condensers. Then, multi objective optimization was performed using Genetic Algorithm followed by multi-criteria decision-making using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to select the best optimal solutions from the Pareto front. Sixteen combinations comprising of four working fluids, R245fa, R600, R600a, and R134a were analyzed. The optimization results showed R245fa ORC-R600a VCC to be the best candidate at ambient conditions of 30 °C, while at 35 °C and 40 °C, R600a ORC-R245fa VCC was found to be the most suitable candidate.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The prospects of different working fluids and their combinations in an ORC driven air conditioning system are investigated. </LI> <LI> Ambient conditions considering the outdoor temperatures of 30 °C, 35 °C and 40 °C with 50% relative humidity is selected. </LI> <LI> Working fluids R245fa, R134a, R600a, and R600, and their combinations are the investigated. </LI> <LI> Sensitivity analysis of different parameters on the second law efficiency and UA values of heat exchangers is evaluated. </LI> <LI> Multi-objective optimization of the exergetic efficiency and the UA values of heat exchangers is carried out. </LI> </UL> </P>
Alam, Tariq,Khattak, Yasir Jamil,Beg, Madiha,Raouf, Abdul,Azeemuddin, Muhammad,Khan, Asif Alam Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.22
Background: In Pakistan thyroid cancer is responsible for 1.2% cases of all malignant tumors. Ultrasonography (US) is helpful in detecting cancerous thyroid nodules on basis of different features like echogenicity, margins, microcalcifications, size, shape and abnormal neck lymph nodes. We therefore aimed to calculate diagnostic accuracy of ultrasound in detection of carcinoma in thyroid nodules taking fine needle aspiration cytology as the reference standard. Materials and Methods: A cross-sectional analytical study was designed to prospectively collect data from December 2010 till December 2012 from the Department of Radiology in Aga Khan University Hospital, Karachi, Pakistan. A total of 100 patients of both genders were enrolled after informed consent via applying non-probability consecutive sampling technique. Patients referred to Radiology department of Aga Khan University to perform thyroid ultrasound followed by fine-needle aspiration cytology of thyroid nodules were included. They were excluded if proven for thyroid malignancy or if their US or FNAC was conducted outside our institution. Results: The subjects comprised 76 (76%) females and 24 males. Mean age was $41.8{\pm}SD$ 12.3 years. Sensitivity and specificity with 95%CI of ultrasound in differentiating malignant thyroid nodule from benign thyroid nodule calculated to be 91.7% (95%CI, 0.72-0.98) and 78.94% (0.68-0.87) respectively. Reported positive predictive value and negative PV were 57.9% (0.41-0.73) and 96.8% (0.88-0.99) and overall accuracy was 82%. Likelihood ratio (LR) positive was computed to be 4.3 and LR negative was 0.1. Conclusions: Ultrasonography has a high diagnostic accuracy in detecting malignancy in thyroid nodules on the basis of features like echogenicity, margins, micro calcifications and shape.
TARIQ, Rameez,KHAN, Muhammad Arshad,RAHMAN, Abdul Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.8
This study examines the nonlinear relationship between financial development and economic growth in Pakistan using the threshold regression model for the period 1980-2017. We also employed quantile regression with 0.25, 0.50, and 0.75 quantiles of conditional distribution. The quantile regression is based on minimizing of sum of squared residuals. The result indicates that economic growth responds positively to financial development when the level of financial development surpasses the threshold value of 0.151. However, when financial development lies below the threshold value (that is, 0.151), its impact on economic growth is negative. Thus, when financial development of Pakistan surpasses the threshold level, it contributes more towards economic growth since greater level of financial development contributes more to boosts economic growth. This finding reveals that economic growth reacts differently to financial development, and the relationship between financial development and economic growth is U-shaped in Pakistan. Among the other variables, physical capital, labor force, and government expenditure exert a positive effect on economic growth. Furthermore, inflation rate and trade openness have an insignificant impact on economic growth. The results of quantile regression also confirm the non-linear relationship between financial development and economic growth in Pakistan. The finding of this study suggests revamping of financial sector policies in Pakistan.
A Comparative Analysis on Machine Learning based Intelligent Forwarding Schemes in VNDN
Ayesha Siddiqa,Muhammad Toaha Raza Khan,Md.Mahmudul Islam,Muhammad Ashar Tariq,Malik Muhammad Saad,Dongkyun Kim 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2
Vehicular named data networks (VNDN) schemes use predefined routing information for communication rather than dynamic network information. Therefore, the researchers encourage to integrate the machine learning (ML) algorithms in VNDN for intelligent communication. In this paper, we have discussed the machine learning (ML) based vehicular named data network (VNDN) schemes for intelligent packet forwarding in highly dynamic topology. We have discussed the intelligent ML-VNDN forwarding schemes which take dynamic network information for interest/data forwarding to increase communication efficiency. Moreover, this article explains the comparative analysis between naïve VNDN schemes and ML-based NDN schemes, also discussed their future directions.
There's No Such Thing as Free Lunch but Envy among Young Facebookers
( Tassawar Iqbal ),( Muhammad Tariq Yousafzai ),( Sabeen Ali ),( Kinza Sattar ),( Muhammad Qaiser Saleem ),( Usman Habib ),( Atta Ur Rehman Khan ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.10
Facebook has quickly infused across cultures worldwide to become a common household term for diverse spectra of netizens, especially youngsters. Inherently, interactive in nature, Facebook provides a common cyber enabled platform for online interactions with social friends, living across the world. However, despite its merits, users also experience certain disadvantages, which include but are not limited to rise in feelings of social comparison, decline in self-esteem, contentment and general subjective well-being. This work aims to determine the role of Facebook in spreading envy and identify factors that trigger such emotions. Due to abductive nature of the study, we used pilot interviews and consulted relevant literature to formulate hypotheses. Further, we used deductive approach and conducted a survey. The results showed that frequent use of Facebook, particularly passive following is main predictor of envy, and social interaction is the biggest cause for development of envious feelings in Facebook users. However, insignificant variation was found while investigating relationship between envy and factors, such as pretentiousness, time spent, accomplishment, everything in life, likes on posts, popularity across genders, marital status and genre.
Draz, Umar,Ali, Tariq,Zafar, Nazir Ahmad,Alwadie, Abdullah Saeed,Irfan, Muhammad,Yasin, Sana,Ali, Amjad,Khattak, Muazzam A. Khan Electronics and Telecommunications Research Instit 2021 ETRI Journal Vol.43 No.3
In the task of data routing in Internet of Things enabled volatile underwater environments, providing better transmission and maximizing network communication performance are always challenging. Many network issues such as void holes and network isolation occur because of long routing distances between nodes. Void holes usually occur around the sink because nodes die early due to the high energy consumed to forward packets sent and received from other nodes. These void holes are a major challenge for I-UWSANs and cause high end-to-end delay, data packet loss, and energy consumption. They also affect the data delivery ratio. Hence, this paper presents an energy efficient watchman based flooding algorithm to address void holes. First, the proposed technique is formally verified by the Z-Eves toolbox to ensure its validity and correctness. Second, simulation is used to evaluate the energy consumption, packet loss, packet delivery ratio, and throughput of the network. The results are compared with well-known algorithms like energy-aware scalable reliable and void-hole mitigation routing and angle based flooding. The extensive results show that the proposed algorithm performs better than the benchmark techniques.