http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Askar Hamdulla,Wujiahemaiti Simayi,Mayire Ibrayim,Dilmurat Tursun 보안공학연구지원센터 2014 International Journal of Signal Processing, Image Vol.7 No.5
Through the analysis on the unique characteristics of Uyghur characters, in order to further improve the recognition rate, this paper developed the Center Distance Feature (CDF) to its modified form which is named as Modified Center Distance Feature (MCDF). By combination with some low dimensional features including stroke number feature, additional part’s location feature, shape feature, bottom-up and left-right density feature(BULR) in experiments, MCDF gifted robust recognition accuracy of 98.77% for the 32 isolated forms of Uyghur characters. MCDF increased the recognition accuracy by 4.51 points comparing with the result from the combination of CDF with the same low dimensional features mentioned above, which is 94.16%. This paper used the samples from 400 different volunteers. The recognition system is trained using 70 percent of 12800 samples from 400 different writers and tested on the remained 30 percent.
Adaptive PSO-LS-Wavelet H∞ control for Two-Wheeled Self-Balancing Scooter
Askar Azizi,Hamid Nourisola,Amin Sadeghi-Emamgholi,Fahime Naderisafa 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.5
The current study is concerned with adaptive Particle Swarm Optimization Least Square Wavelet H∞ fora two-wheel self-balancing scooter that provides a platform in order to balance itself and transport the driver inaccordance to its natural lean. In order to keep the rider close to the upright position over smooth and non-smoothsurfaces, providing a stable control system is the main challenge for the aforementioned vehicle. For this purpose,H∞ is combined with adaptive algorithm, Least Square Support Vector Machine (LS-SVM) and Particle SwarmOptimization (PSO) to construct the adaptive control. The most important feature of the proposed control strategyis its inherent robustness and ability to handle the nonlinear behavior of the system. Simulations results indicatedthat the introduced motion control architecture is capable of providing appropriate control actions to achieve bothposition control and trajectory tracking satisfactorily.
QUASI STRONGLY E-CONVEX FUNCTIONS WITH APPLICATIONS
Askar Hussain,Akhlad Iqbal 경남대학교 기초과학연구소 2021 Nonlinear Functional Analysis and Applications Vol.26 No.5
In this article, we introduce the quasi strongly E-convex function and pseudo strongly E-convex function on strongly E-convex set which generalizes strongly E-convex function defined by Youness [10]. Some non trivial examples have been constructed that show the existence of these functions. Several interesting properties of these functions have been discussed. An important characterization and relationship of these functions have been established. Furthermore, a nonlinear programming problem for quasi strongly E-convex function has been discussed.
The Dog that Didn`t Bark? EU Crisis Management and the Syrian Crisis
( Irem Askar Karakir ),( Nilufer Karacasulu ) 한국국방연구원 2016 The Korean Journal of Defense Analysis Vol.28 No.4
Based on the commonly held assumptions about the inability of the European Union (EU) to cope with new challenges, this paper raises the question of whether the EU will assume greater responsibility for peace, especially in its neighborhood, in the short-term. It contributes to answering this question through focusing on EU mechanisms, instruments and policies of crisis management (civilian-military) since the 1990s, which is embodied in the European Security and Defense Policy (ESDP). In March 2015, the European External Action Service (EEAS) presented a report on CSDP indicating problems in crisis management. Yet, the EU strives for efficient activities. It considered reviewing its neighborhood policy as well as Common Security and Defence Policy (CSDP) to enable more effective actions to deal with crises. Today, it has a huge “toolbox” to address crises. The EU attaches great importance to a coherent and comprehensive strategy in crisis situations. Observing that a comprehensive strategy of the EU was launched in early 2015 to deal with the crisis in Syria, this paper questions to what extent the EU`s new arguments for crisis management are realized in its regional strategy for Syria. While the Syrian crisis is still unfolding, its impacts on the EU in the form of rising terror attacks in Europe by Islamic State in Iraq and Syria (ISIS), and an unprecedented influx of migrants are remarkable.
MaaS: CONTEMPORARY APPROACHES IN TRANSPORTATION IN 21ST CENTURY
Ayse Askar,Suji Kim,Kitae Jang 대한교통학회 2022 대한교통학회 학술대회지 Vol.86 No.-
Over the past years, Mobility-as-a-Service (MaaS) concept has been frequently pronounced around the world. By putting the users at the center, MaaS aims to solve the first and last mile problem together with sustainable mobility solutions. As a nascent system, MaaS has integrated various elements and brought multiple actors together. In addition to different types of MaaS models, all of them aims to shift from car ownership to shared sustainable mobility. Considering its short history and increasing popularity as a hot topic, there are lots of unknowns to be explored and lots of opportunities for MaaS actors in the future mobility. This study provides better understanding of MaaS by relating its past, present and future development, and suggests future directions for realizing MaaS.
Environmental Foreign Policy as a Soft Power Instrument: Cases of China and India
Karakir, Irem Askar World Association for Triple Helix and Future Stra 2018 Journal of Contemporary Eastern Asia Vol.17 No.1
Joseph S. Nye defined soft power as the power of attraction to affect the behavior of other states through the use of non-coercive instruments including culture, political values and foreign policy. Over the last two decades, environmental issues have grown in importance on the international agenda and become critical components of states' foreign policy-making. This paper aims to analyze environmental foreign policy as a soft power instrument focusing on two major rising powers: China and India. Traditionally, China and India had been reluctant to make any commitments in the field. However, they have shown greater willingness to act in global environmental governance in the past decade. They started playing more active roles in global climate change negotiations and supported a number of initiatives. Their current rise in global environmental governance has even been praised by the international community as the Paris agreement case demonstrated. This study evaluates China's and India's recent efforts in global environmental governance with a focus on climate change negotiations linking their constructive position to their soft power potential. It is argued that environmental issues are used by these two states as foreign policy strategy to gain more influence in international politics. This study finds out that China's climate-related environmental diplomacy has been more ambitious than that of India and thus has been closer to fulfill its potential as a soft power asset.
On-line Handwritten Uyghur Word Recognition Using Segmentation-Based Techniques
Mayire Ibrayim,Askar Hamdulla 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.6
An approach to online handwriting word recognition using segmentation-based techniques is presented in this paper. This approach is referred to as lexicon-driven approach because an optimal segmentation is generated for each string in the lexicon. Word recognition problem is transformed into matching optimization problems between the dictionary entry and the handwritten word image. The segmentation processes use these steps such as removing delayed strokes, shape analysis of the stroke trajectory, reconstructing delayed strokes and combining adjacent fragments. Dynamic matching is used to ranking the lexicon entries in order to get best match. A match score is assigned to a segmentation and string by matching each segment to the corresponding character in the string with a character recognition algorithm that returns confidence value for each character class. As a result the performance for lexicons of size 10, 100, 500 and 1000are 93.17%, 70.33%, 59.79%,51.20% and 94.85%, 79.75%, 74.42%, 62.19% for adding distance and normalizing distance respectively.