205 research outputs found
Offline signature verification system: a novel technique of fusion of GLCM and geometric features using SVM
No full textIn the area of digital biometric systems, the handwritten signature plays a key role in the authentication of a person based on their original samples. In offline signature verification (OSV), several problems exist that are challenging for verification of authentic or forgery signature by the digital system. Correct signature verification improves the security of people, systems, and services. It is applied to uniquely identify an individual based on the motion of pen as up and down, signature speed, and shape of a loop. In this work, the multi-level features fusion and optimal features selection based automatic technique is proposed for OSV. For this purpose, twenty-two Gray Level Co-occurrences Matrix (GLCM) and eight geometric features are calculated from pre-processing signature samples. These features are fused by a new parallel approach which is based on a high-priority index feature (HPFI). A skewness-kurtosis based features selection approach is also proposed name skewness-kurtosis controlled PCA (SKcPCA) and selects the optimal features for final classification into forged and genuine signatures. MCYT, GPDS synthetic, and CEDAR datasets are utilized for validation of the proposed system and show enhancement in terms of Far and FRR as compared to existing methods
Isolation and Characterization of Limonoids from Kigelia africana
No full textTwo new limonoids, 1-O-deacetyl-2α-methoxykhayanolide (1) and kigelianolide (2), together with deacetylkhayanolide E (3), 1-O-deacetyl- 2α-hydroxykhayanolide E (4) and khayanolide B (5) were isolated from the ethyl acetate-soluble fraction of the methanolic extract of Kigelia africana. The structures of these limonoids (1-5) were elucidated by the combination of 1D (1H and 13C NMR) and 2D (HMQC, HMBC and COSY) NMR spectroscopy and mass spectrometry (EIMS, HREIMS), and in comparison with literature data of related compounds. The structure of compound 1 was further confirmed by X-ray crystallography, and the absolute stereochemistry of compounds 1 and 2 was determined by electronic circular dichroism (ECD) spectroscopy. Limonoids 1-5 showed weak inhibitory activities against the enzymes acetylcholinesterase (AChE), butyrycholinesterase (BChE) and lipoxygenase (LOX) in a concentration-dependent manner with IC50 values in the ranges 137.5 -225.2 μM for AChE, 185.4 -241.5 μM for BChE and 281.2 -189.6 μM for LOX
Certificate in Project Preparation and Project Management
No full textCertificate in Project Preparation and Project Management : a customized program for KP Revenue Mobilization & Public Resource Management Program (KPRMP).
Front Row- Left to Right: Ashfaq Ahmed, Ikhlaq Ahmed, Rida Haroon, Yusra Shoukat, Mohsin Chandna, Sarah Rehman, Sana Imtiaz, Aamir Bashir, Muhammad Ayaz Khan, Said Ul Amin, Javed Khilji
Middle Row- Left to Right: Aftab Ahmad, Yar Muhammad, Muqtida Bin Syed Gillani, Atta ur Rehman, Muhammad Riaz, Naveed Alam, Naveed Khan, Syed Hammad Haider, Muhammad Shiraz
Last Row: Left to Right: Saba Hameed, Kehkashan Mazhar, Munawar Jamal, Abdul Rehman, Zahid Ahmed, Jaydeephttps://ir.iba.edu.pk/training-events-gallery/1004/thumbnail.jp
Crude Protein Degradation Kinetics of Selected Tropical Forages in Buffalo Using NorFor In Situ Standards
Get PDFThis study aimed to evaluate the crude protein (CP) degradation kinetics and
degradability (CPD) of cereal and legume fodder species grown at two geographically
distant locations. Ten forage species, comprising six cereals (barley, maize, millet, oats,
sorghum, and wheat) and four legumes (berseem, jantar, lucerne, and mustard), were
evaluated to determine the effects of forage family, species, and location of growth on CP
degradation fractions and effective CPD. The forage crops were cultivated under uniform
agronomic practices at two distinct agro-ecological locations and were harvested at the
booting stage (cereals) and 50% flowering stage (legumes). Dried and ground samples
were incubated in the rumen of four Nili-Ravi buffalo fitted with rumen cannula. The
incubation periods utilized in the experiment were 0, 4, 8, 16, 24, and 48 h, and a 4 × 2 × 2
split-plot design was employed. The results showed that the CP degradation fractions
and CPD were significantly affected by forage family, species, and location of growth.
Wide variations in degradation kinetics and degradability existed among and within the
cereal and legume fodders, with wheat and jantar ranked at the top. Legume forages had larger soluble fractions, smaller potentially degradable fractions, and rapid rates and extent
of degradation of dietary proteins than cereal forages. The cooler climatic conditions at
location 2 increased the rapidly degradable protein fraction and overall CPD, whereas
the warmer climatic conditions enhanced the slowly degradable protein fractions, thereby
reducing the overall protein degradability in tropical forages. It was quite evident that
some fodder species, such as maize among the cereal fodders and mustard among the
legume fodders, remained quite non-responsive to the effects of the climatic conditions.
Amoderately positive and linear relationship between the rate of degradation and CPD
was established for cereals, whereas a strongly positive and quadratic relationship was
established for legume fodders. In conclusion, forage species, family, and location of growth
significantly affected the degradation fractions and degradability of tropical cereal and
legume fodders
Writer Identification Using Microblogging Texts for Social Media Forensics
No full textEstablishing authorship of online texts is fundamental to combat cybercrimes. Unfortunately, text length is limited on some platforms, making the challenge harder. We aim at identifying the authorship of Twitter messages limited to 140 characters. We evaluate popular stylometric features, widely used in literary analysis, and specific Twitter features like URLs, hashtags, replies or quotes. We use two databases with 93 and 3957 authors, respectively. We test varying sized author sets and varying amounts of training/test texts per author. Performance is further improved by feature combination via automatic selection. With a large amount of training Tweets (>500), a good accuracy (Rank-5>80%) is achievable with only a few dozens of test Tweets, even with several thousands of authors. With smaller sample sizes (10-20 training Tweets), the search space can be diminished by 9-15% while keeping a high chance that the correct author is retrieved among the candidates. In such cases, automatic attribution can provide significant time savings to experts in suspect search. For completeness, we report verification results. With few training/test Tweets, the EER is above 20-25%, which is reduced to < 15% if hundreds of training Tweets are available. We also quantify the computational complexity and time permanence of the employed features. © 2019 IEEE.Funding: This work was supported in part by the project 2016-03497 of the Swedish Research Council. Naveed Muhammad has been funded by European Social Fund via IT Academy programme. The authors also thank the CAISR Program of the Swedish Knowledge Foundation.</p
Collected Papers (on Neutrosophic Theory and Applications), Volume VII
Get PDFThis seventh volume of Collected Papers includes 70 papers comprising 974 pages on (theoretic and applied) neutrosophics, written between 2013-2021 by the author alone or in collaboration with the following 122 co-authors from 22 countries: Mohamed Abdel-Basset, Abdel-Nasser Hussian, C. Alexander, Mumtaz Ali, Yaman Akbulut, Amir Abdullah, Amira S. Ashour, Assia Bakali, Kousik Bhattacharya, Kainat Bibi, R. N. Boyd, Ümit Budak, Lulu Cai, Cenap Özel, Chang Su Kim, Victor Christianto, Chunlai Du, Chunxin Bo, Rituparna Chutia, Cu Nguyen Giap, Dao The Son, Vinayak Devvrat, Arindam Dey, Partha Pratim Dey, Fahad Alsharari, Feng Yongfei, S. Ganesan, Shivam Ghildiyal, Bibhas C. Giri, Masooma Raza Hashmi, Ahmed Refaat Hawas, Hoang Viet Long, Le Hoang Son, Hongbo Wang, Hongnian Yu, Mihaiela Iliescu, Saeid Jafari, Temitope Gbolahan Jaiyeola, Naeem Jan, R. Jeevitha, Jun Ye, Anup Khan, Madad Khan, Salma Khan, Ilanthenral Kandasamy, W.B. Vasantha Kandasamy, Darjan Karabašević, Kifayat Ullah, Kishore Kumar P.K., Sujit Kumar De, Prasun Kumar Nayak, Malayalan Lathamaheswari, Luong Thi Hong Lan, Anam Luqman, Luu Quoc Dat, Tahir Mahmood, Hafsa M. Malik, Nivetha Martin, Mai Mohamed, Parimala Mani, Mingcong Deng, Mohammed A. Al Shumrani, Mohammad Hamidi, Mohamed Talea, Kalyan Mondal, Muhammad Akram, Muhammad Gulistan, Farshid Mofidnakhaei, Muhammad Shoaib, Muhammad Riaz, Karthika Muthusamy, Nabeela Ishfaq, Deivanayagampillai Nagarajan, Sumera Naz, Nguyen Dinh Hoa, Nguyen Tho Thong, Nguyen Xuan Thao, Noor ul Amin, Dragan Pamučar, Gabrijela Popović, S. Krishna Prabha, Surapati Pramanik, Priya R, Qiaoyan Li, Yaser Saber, Said Broumi, Saima Anis, Saleem Abdullah, Ganeshsree Selvachandran, Abdulkadir Sengür, Seyed Ahmad Edalatpanah, Shahbaz Ali, Shahzaib Ashraf, Shouzhen Zeng, Shio Gai Quek, Shuangwu Zhu, Shumaiza, Sidra Sayed, Sohail Iqbal, Songtao Shao, Sundas Shahzadi, Dragiša Stanujkić, Željko Stević, Udhayakumar Ramalingam, Zunaira Rashid, Hossein Rashmanlou, Rajkumar Verma, Luige Vlădăreanu, Victor Vlădăreanu, Desmond Jun Yi Tey, Selçuk Topal, Naveed Yaqoob, Yanhui Guo, Yee Fei Gan, Yingcang Ma, Young Bae Jun, Yuping Lai, Hafiz Abdul Wahab, Wei Yang, Xiaohong Zhang, Edmundas Kazimieras Zavadskas, Lemnaouar Zedam
A New Approach of Neutrosophic Soft Set with Generalized Fuzzy TOPSIS in Application of Smart Phone Selection
No full textتشدد کے خلاف تحفظ نسواں ایکٹ 2016ءحکومت پنجاب: شریعت اسلامیہ کی روشنی میں جائزہ
No full textPakistan is an ideal country for the protection and promotion of Islamic thought and culture.That is why the provision of women's rights is ensured here and various trends of violence against women are discouraged.“The Punjab Protection of Women Against Violence Act 2016” is of paramount importance in this regard .It introduces a new system for resolving women's grievances related to domestic violence .The system mentions various administrative officers, legal committees, punishments and fines. The act has developed a profound impact on Muslim society and its norms .In this particular civilizational and religious background, this research article analyzes this specific act of Punjab Government in the light of Islamic teachings
Transformational, Transactional Leadership and Rational Decision Making in Services Providing Organizations: Moderating Role of Knowledge Management Processes
Get PDFThe study is based on moderating role of knowledge management processes in the relationship between transformational, transactional leadership and rational decision making in services providing organizations. The study also examined the effect of transformational leadership and knowledge management processes on the predication of rational decision making. Information from services providing organizations including banks, hospitals, and universities is collected through Multifactor Leadership Questionnaire, Knowledge Management Process Scale and General Decision Making Styles Questionnaire. A purposive sample of 1200 employees participated in the present study. Moderated Regression analysis confirmed that transformational, transactional leadership and knowledge management processes positively predicted rational decision making. Finally, knowledge management processes moderated between transformational, transactional leadership and rational decision making
Transformational, transactional leadership and rational decision making in services providing organizations: Moderating role of knowledge management processes
No full textThe study is based on moderating role of knowledge management processes in the relationship between transformational, transactional leadership and rational decision making in services providing organizations. The study also examined the effect of transformational leadership and knowledge management processes on the predication of rational decision making. Information from services providing organizations including banks, hospitals, and universities is collected through Multifactor Leadership Questionnaire, Knowledge Management Process Scale and General Decision Making Styles Questionnaire. A purposive sample of 1200 employees participated in the present study. Moderated Regression analysis confirmed that transformational, transactional leadership and knowledge management processes positively predicted rational decision making. Finally, knowledge management processes moderated between transformational, transactional leadership and rational decision making
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