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Martha Nussbaum und Aristoteles
No full textThis paper gives a detailed analysis of Nussbaum's "capabilities approach" and her claim that it is a genuinely Aristotelian contemporary political philosophy. The paper comprehensively examines how Nussbaum bases her approach on human nature and questions her assertion that Aristotle's account of human nature and her approach are not metaphysical. It analyses the normative dimension of her "capabilities approach" and shows how she adopts and modifies Aristotle's doctrine of distributive justice in an egalitarian way. With reference to contemporary literature on Aristotle's Politics, the paper criticizes that Nussbaum assimilates his political philosophy into modern values and notions, laying out several reasons supporting the thesis that Nussbaum's "capabilities approach" should not be regarded as an Aristotelian approach
A sufic traveler who visited Orhan Ghazi at his palace:Sayyid Kasim al-Baghdadi and the importance of his travel book of terms the history of establishment of the Ottoman Empire
No full textBildiri, yazarın izniyle açık erişim kullanıma açılmıştır
Optimal ship navigation and algorithms for stochactic obstacle scenes
No full textThis thesis is comprised of two different but related sections. In the first section, we consider the optimal ship navigation problem wherein the goal is to find the shortest path between two given coordinates in the presence of obstacles subject to safety distance and turn-radius constraints. These obstacles can be debris, rock formations, small islands, ice blocks, other ships, or even an entire coastline. We present a graph-theoretic solution on an appropriately-weighted directed graph representation of the navigation area obtained via 8-adjacency integer lattice discretization and utilization of the A∗ algorithm. We explicitly account for the following three conditions as part of the turn-radius constraints: (1) the ship’s left and right turn radii are different, (2) ship’s speed reduces while turning, and (3) the ship needs to navigate a certain minimum number of lattice edges along a straight line before making any turns. The last constraint ensures that the navigation area can be discretized at any desired resolution. We illustrate our methodology on an ice navigation example involving a 100,000 DWT merchant ship and present a proof- of-concept by simulating the ship’s path in a full-mission ship handling simulator at Istanbul Technical University.
In the second section, we consider the stochastic obstacle scene problem wherein an agent needs to traverse a spatial arrangement of possible-obstacles, and the status of the obstacles may be disambiguated en route at a cost. The goal is to find an algorithm that decides what and where to disambiguate en route so that the expected length of the traversal is minimized. We present a polynomial-time method for a graph-theoretical version of the problem when the associated graph is restricted to parallel avenues with fixed policies within the avenues. We show how previously proposed algorithms for the continuous space version can be adapted to a discrete setting. We propose a gener- alized framework encompassing these algorithms that uses penalty functions to guide the navigation in realtime. Within this framework, we introduce a new algorithm that provides near-optimal results within very short execution times. Our algorithms are illustrated via computational experiments involving synthetic data as well as an actual naval minefield data set.Declaration of Authorship ii
Abstract iv
¨ Oz v
Acknowledgments vii
List of Figures x
List of Tables xi
1 Optimal Ship Navigation with Safety Distance and Realistic Turn Con- straints
1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1 1.2 Previous Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.3 The Optimal Ship Navigation Problem . . . . . . . . . . . . . . . . . . . . 4
1.4 Methodology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.4.1 Safety Distance Constraints . . . . . . . . . . . . . . . . . . . . . . 5
1.4.2 Lattice Discretization . . . . . . . . . . . . . . . . . . . . . . . . . 6
1.4.3 Ship-Turn Constraints . . . . . . . . . . . . . . . . . . . . . . . . . 7
1.4.4 The A∗ Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
1.4.5 Smoothing the Optimal Path . . . . . . . . . . . . . . . . . . . . . 13
1.5 Ice Navigation Example . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
1.6 Simulator Application . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
1.7 Summary, Conclusions, and Future Research . . . . . . . . . . . . . . . . 18
2 Algorithms for Stochastic Obstacle Scenes 21
2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
2.2 The Stochastic Obstacle Scene Problem: Continuous vs. Discrete Settings 23
2.2.1 Deciding Where to Disambiguate: Single Disk Case . . . . . . . . 23
2.2.2 Deciding Where to Disambiguate: Two Disks Case . . . . . . . . . 25
2.2.3 Discretization of the Continuous Setting: An Example . . . . . . . 27
2.3 Definition of the Stochastic Obstacle Scene Problem . . . . . . . . . . . . 27
2.3.1 Continuous SOSP . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
2.3.2 Discrete SOSP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
2.3.3 Discretized SOSP . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
2.4 A Polynomial Algorithm for Discrete SOSP on Parallel Graphs . . . . . . 29
2.5 Discrete Adaptation of the Simulated Risk Disambiguation Algorithm . . 30
2.5.1 Adaptation to Discrete SOSP . . . . . . . . . . . . . . . . . . . . . 30
2.5.2 Adaptation to Discretized SOSP . . . . . . . . . . . . . . . . . . . 32
2.6 Discrete Adaptation of the Reset Disambiguation Algorithm . . . . . . . . 33
2.7 Generalizing SRA and RDA: Penalty-Based Algorithms and DTA . . . . . 34
2.7.1 Illustration of the Algorithms . . . . . . . . . . . . . . . . . . . . . 36
2.8 Computational Experiments . . . . . . . . . . . . . . . . . . . . . . . . . . 37
2.8.1 Environment A (The COBRA Data) Experiments . . . . . . . . . 40
2.8.2 Environment B Experiments . . . . . . . . . . . . . . . . . . . . . 41
2.8.3 Environment C Experiments . . . . . . . . . . . . . . . . . . . . . 43
2.9 Summary and Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
A Impact of Cost Change in Parallel Graphs 47
Bibliograph
Exploring the power of supervised learning methods for company name disambiguation in microblog posts
No full textTezin basılı İstanbul Şehir Üniversitesi Kütüphanesi'ndedir.Entity disambiguation is the task of identifying the real world entity that was referred to/mentioned in a context. Ambiguous references to entities may occur due to varia- tions of how an entity is referenced (BT, British Telecom) or inherent ambiguities of the names used for entities (Orange Telecom vs. fruit orange), and misspellings (Best Buy vs. BestBuy). Ambiguities in company names however come with a price, when it comes to nding information about the company on the Web. Recently, tracking social media for brand management has become a very important part of the process in marketing, public relations, and product marketing. Therefore, resolving references to real world objects has become an important part of social media analytics systems. In this thesis, we study dierent machine learning algorithms for entity disambiguation in micro-blogging posts. We show that with the carefully selected set of features, supervised learning techniques would improve the disambiguation quality signicantly.Declaration of Authorship ii
Abstract iii
Öz iv
Acknowledgments vi
List of Figures ix
List of Tables x
1 Introduction
1 1.1 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
1 1.2 Research Challenges . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.3 Our Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
1.4 Comparison with Other Systems . . . . . . . . . . . . . . . . . . . . . . . 6
1.5 Our Contributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2 Related Work 10
2.1 Company Disambiguation . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
2.2 Entity Disambiguation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
2.3 Entity Matching . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
2.4 Social Media Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
3 Problem Statement and Our Approach 22 3.1 Problem Statement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
3.1.1 Company Prole Representation . . . . . . . . . . . . . . . . . . . 22
3.1.2 Tweet Representation . . . . . . . . . . . . . . . . . . . . . . . . . 24
3.2 Our Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 3.2.1 Data Preprocessing . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 3.2.1.1 Removing Stopwords . . . . . . . . . . . . . . . . . . . . . 25
3.2.1.2 Stemming . . . . . . . . . . . . . . . . . . . . . . . . . . . 26
.2.1.3 Lemmatization . . . . . . . . . . . . . . . . . . . . . . . . 26
3.2.1.4 Data Normalization . . . . . . . . . . . . . . . . . . . . . 26
3.2.1.5 Generating Vector Space Model . . . . . . . . . . . . . . 26
3.2.2 Feature Extraction . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
3.2.2.1 Numerical Features . . . . . . . . . . . . . . . . . . . . . 27
3.2.2.2 Categorical Features . . . . . . . . . . . . . . . . . . . . . 39
3.2.2.3 Feature Representation . . . . . . . . . . . . . . . . . . . 39
3.2.3 Used Supervised Classiers . . . . . . . . . . . . . . . . . . . . . . 40
3.2.3.1 Logistic Regression . . . . . . . . . . . . . . . . . . . . . . 40
3.2.3.2 Majority Voting . . . . . . . . . . . . . . . . . . . . . . . 41
3.2.3.3 Support Vector Machine . . . . . . . . . . . . . . . . . . . 42
3.2.3.4 Multilayer Perceptron . . . . . . . . . . . . . . . . . . . . 42
3.2.3.5 Decision Tree . . . . . . . . . . . . . . . . . . . . . . . . . 46
3.2.3.6 Adaboost Algorithm . . . . . . . . . . . . . . . . . . . . . 47
3.2.3.7 Simple Approach Algorithm . . . . . . . . . . . . . . . . . 47
3.2.3.8 Entity Ranking Algorithm . . . . . . . . . . . . . . . . . 48
3.2.3.9 Threshold Classication . . . . . . . . . . . . . . . . . . . 51
4 Experiments and Evaluation 54
4.1 Dataset Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54
4.2 Evaluation Metrics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
4.3 Experiments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
4.3.1 Experiment 1: Bag-of-Words Experiment . . . . . . . . . . . . . . 56
4.3.2 Experiment 2: Feature Extraction . . . . . . . . . . . . . . . . . . 56
4.3.3 Experiment 3: Threshold Algorithm . . . . . . . . . . . . . . . . . 65
4.3.4 Experiment 4: Wikipedia Two Prole Approach . . . . . . . . . . . 71
4.3.5 Experiment 5: Simple Approach Algorithm . . . . . . . . . . . . . 71
4.3.6 Experiment 6: Entity Ranking Algorithm . . . . . . . . . . . . . . 72
4.3.7 General Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . 74
4.3.8 T-test Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76
5 Conclusion 81
5.1 Overall Analyze and Future Work . . . . . . . . . . . . . . . . . . . . . . . 81
5.2 Possible Implications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83
A Additional Stopword List 84
Bibliography 8
Understanding a sixteen-century Ottoman scholar bureaucrat : Ali B. Bali (1527-1584) and his biographical dictionary Al-’Iqd Al-manzum fi Dhikr Afazil Al-Rum
No full textTezin basılısı İstanbul Şehir Üniversitesi Kütüphanesi'ndedir.This thesis examines al-ʻIqd al-Manzum fi Dhikr Afazil al-Rum, one of the continuations of Ahmed Taşköprizade’s (d. 1561) renowned biographical dictionary al-Shaqaʾiq al-Nuʿmaniyya fi ʿUlama al-Dawla al-ʿUthmaniyya, in order to understand the mind of its author Ali b. Bali (d. 1584). This study presents an authorial context for al-ʻIqd al-Manzum by constructing Ali b. Bali’s biography. Then, it provides a textual context by examining al-ʻIqd al-Manzum as a biographical dictionary in relation with the general trend of biography writing in the sixteenth-century Ottoman world. Ali was well aware that he had two groups of readers, first, the Ottoman scholars in the core lands of the empire (in the lands of Rum), and second, the scholars outside of the core lands, who were speaking Arabic as their mother tongue. Ali tried to show his command of Arabic before his peers as well as to prove the scholarly competence of Rumi scholars before other groups of scholars within the empire. Last two chapters focus on two themes, respectively Ali’s perception of decline in the Ottoman scholarly life and his ideas about Sufism. Ali’s bitter experience in scholarly career path had an influence on his perspective of his age and contemporaries. Taking refuge in Sufism, Ali emphasized the conformity of Sufism with sharia and created a powerful image of his own sheikh Cerrahzade as one of the prominent sheikhs of the Bayrami order.Abstract ....................................................................................................................... iv Öz ................................................................................................................................ vi
Acknowledgements ................................................................................................... viii
Table of Contents ......................................................................................................... x
List of Tables............................................................................................................. xiii
List of Figures………………………………………………………………………xiv
List of Abbreviations................................................................................................. xiv Transliteration and Usage ......................................................................................... xvi
CHAPTERS
1. Introduction ........................................................................................................... 1
1.1. The Limits and Possibilities of a Historical Study on al-ʻIqd al-Manzum .... 3 1.2. Literature Review .......................................................................................... 5 1.3. Manuscript Copies of Al-ʻIqd al-Manzum and the Sources of the Study ...... 7 1.4. The Outline of Chapters ................................................................................ 8
2. The Life Story of a Sixteenth-Century Ottoman Scholar-Bureaucrat: Ali B. Bali . ............................................................................................................................ 12
2.1. To be a Scholar-Bureaucrat ......................................................................... 12 2.2. Sources for the Biography ........................................................................... 13 2.3. The Problem of Origin and Family Background ......................................... 15 2.4. The Father: Bali Efendi ............................................................................... 17 2.5. The Son: Ali b. Bali ..................................................................................... 22
2.5.1. School Years ........................................................................................ 22 2.5.2. Composing Poetry under the Penname Cevheri................................... 28 2.5.3. Receiving Mülazemet and Teaching Positions ..................................... 31 2.5.4. Pilgrimage ............................................................................................ 35 2.5.5. Back to Istanbul.................................................................................... 37 2.5.6. Years of Unemployment and Taking Refuge in the Sufi Lodge .......... 42 2.5.7. Back to Madrasa ................................................................................... 46
2.5.8. Last Years............................................................................................. 48
3. Al-ʻIqd Al-Manzum as A Biographical Dictionary ............................................. 51
3.1. Introduction ................................................................................................. 51 3.2. Biography Writing in an Ottoman Context in the Sixteenth-Century ......... 52
3.2.1. Al-Shaqa’iq, Its Translations and Continuations ............................... 544 3.2.2. Dictionaries of Poets ............................................................................ 58
3.3. A Continuation to al-Shaqa’iq: Al-ʻIqd al-Manzum ................................... 60
3.3.1. The Sources of the Book: Merely a Copy of Aşık Çelebi’s Continuation?...................................................................................................... 62 3.3.2. The Title of the Book: Why Afazil al-Rum? ........................................ 69 3.3.3. The Language of the Book: Why in Arabic? ....................................... 74
3.4. Conclusion ................................................................................................... 85
4. The Golden Age versus The Corrupt Present ..................................................... 87
4.1. Introduction ................................................................................................. 87 4.2. The Decline Discourse in the Sixteenth Century ........................................ 88 4.3. Perceptions of a Golden Age in al-ʻIqd al-Manzum ................................... 94
4.3.1. Ali’s Criticisms of His Age .................................................................. 95 4.3.2. Kanun Consciousness .......................................................................... 99 4.3.3. Portrayal of the Ideal ‘Âlim ................................................................ 101 4.3.4. The House of Osman in al-ʻIqd al-Manzum .................................... 1055
4.4. Conclusion ................................................................................................. 108
5. From The Eyes of A Mürid............................................................................... 110
5.1. Introduction ............................................................................................... 110 5.2. Who were the Masha’ikh al-Rum? ............................................................ 112 5.3. How to Deal With Dream Narratives ........................................................ 114 5.4. Sufism in Conformity with Sharia ............................................................. 116 5.5. Portraying Sufi Sheikhs ............................................................................. 122
5.5.1. Sufi Sheikhs as Organizers of Worldly Affairs.................................. 123 5.5.2. Sufi Sheikh-Scholar Confrontations .................................................. 124
5.5.3. Bayrami Sheikhs in Al-ʻIqd al-Manzum ............................................ 128
5.6. Conclusion ................................................................................................. 130
6. Conclusion ........................................................................................................ 132 Bibliography ............................................................................................................. 137 Appendices ............................................................................................................... 144
A. Biographical entries in Aşık Çelebi’s continuation and al-ʻIqd al-Manzum .. 146 B. The List of Existing Registered Manuscripts of al-ʻIqd al-Manzum in Turkish Manuscript Libraries ............................................................................................ 147 C. Chronology of Ali b. Bali’s Life ...................................................................... 15
HoneyThing : nesnelerin interneti için tuzak sistem
No full textTezin basılısı İstanbul Şehir Üniversitesi Kütüphanesi'ndedir.Teknolojinin geli³mesiyle birlikte internete ba§l cihaz says gün geçtikçe artmaktadr. Günümüzde ki³isel, sosyal, sa§lk gibi birçok alanda bu cihazlarn kullanmnn yaygnla³- masteknolojigeli³imineba§loldu§ukadarkullanclarasa§lad§güvenlikvemahremiyet yetenekleri ile de ilgilidir.
nternete ba§l nesneler bilgisayar, sunucular gibi güçlü donanma sahip olmadklarndan bu cihazlarn bünyesinde saldr tespiti için klasik yöntemler kullanlamamaktadr. Saldr tespiti amaçl kullanlan önemli yaplardan biri olan tuzak sistemlerin günümüzde birçok protokol için uygulamalar bulunmaktadr. Tuzak sistemler hedef sistemin benzetimini yaparak saldrgan ve kulland§ yöntem hakknda bilgi toplamay hedeer. nternete ba§l nesnelerin uzaktan yönetimi için yaygn olarak kullanlan protokollerden biri olan TR-069 için geli³tirilmi³ bir tuzak sistem uygulamas bulunamamaktadr.
Son yllarda çkan açklklar ve potansiyel kurban saysnn giderek artmas saldrganlarn nesnelerin interneti alanna yönelmesine neden olmu³tur. Bu çal³mada internete ba§l nesnelerde saldr tespiti için tuzak sistem kullanm ele alnm³tr. TR-069 protokolü kullanan modem/yönlendirici gibi cihazlar için tuzak sistem uygulamas geli³tirilmi³, yaplan testler sonucunda uygulamann hedeenen özellikleri sa§lad§ gözlemlenmi³tir.Yazarlk Beyan ii
Öz iv
Te³ekkür v
ekil Listesi viii
Tablo Listesi ix
Ksaltmalar x
1 Giri³ 1
2 Nesnelerin nterneti 4
2.1 Giri³ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
2.2 Tarihsel Geli³imi ve Gelecek Öngörüsü . . . . . . . . . . . . . . . . . . . . 6
2.3 Gerekli Teknolojiler . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.4 Uygulamalar ve Etki Alanlar . . . . . . . . . . . . . . . . . . . . . . . . . 8
2.4.1 Akll Ortam . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
2.4.2 Sa§lk Hizmetleri . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.4.3 Ula³m ve Lojistik . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
2.4.4 Ki³isel ve Sosyal . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
2.4.5 Enerji ve Madencilik . . . . . . . . . . . . . . . . . . . . . . . . . . 11
2.5 Güvenlik . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
2.5.1 Tehdit Kaynaklar . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.5.2 Atak Vektörleri . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
2.5.2.1 Web Arayüzleri . . . . . . . . . . . . . . . . . . . . . . . . 14
2.5.2.2 Yetersiz Kimlik/Eri³im Denetimi . . . . . . . . . . . . . . 15
2.5.2.3 A§ Servisleri . . . . . . . . . . . . . . . . . . . . . . . . . 15
2.5.2.4 ifreleme Eksikli§i . . . . . . . . . . . . . . . . . . . . . . 15
2.5.2.5 Cihaz Yazlmlar . . . . . . . . . . . . . . . . . . . . . . . 16
2.5.2.6 Fiziksel Güvenlik Eksikli§i . . . . . . . . . . . . . . . . . 16 2.5.3 Önlemler . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
2.5.4 Saldr Tespiti . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
3 Tuzak Sistemler 19
3.1 Giri³ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
3.2 Tuzak Sistem Türleri . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
3.2.1 Dü³ük Etkile³imli Tuzak Sistemler . . . . . . . . . . . . . . . . . . 22
3.2.2 Orta Etkile³imli Tuzak Sistemler . . . . . . . . . . . . . . . . . . . 22
3.2.3 Yüksek Etkile³imli Tuzak Sistemler . . . . . . . . . . . . . . . . . . 23 3.3 Tuzak Sistem Örnekleri . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
4 TR-069 26
4.1 Giri³ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26
4.2 Terminoloji . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26
4.3 Kullanm Amaçlar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
4.3.1 Otomatik Yaplandrma ve Dinamik Hizmet Sa§lama . . . . . . . . 27
4.3.2 Yazlm/Bellenim maj Yönetimi . . . . . . . . . . . . . . . . . . . 28
4.3.3 Yazlm Modül Yönetimi . . . . . . . . . . . . . . . . . . . . . . . . 28
4.3.4 Perform
ans ve Durum zleme . . . . . . . . . . . . . . . . . . . . . 28 4.3.5 Hata Tanlama . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28
4.4 Mimari . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29
4.5 RPC Metotlar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
4.5.2 ACS Metotlar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
4.6 Oturum Yönetimi . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
4.7 Güvenlik Özellikleri . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
5 HoneyThing 35
5.1 Giri³ . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
5.2 Geli³tirme Ortam . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
5.3 Sistem Bile³enleri . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
5.3.1 HTTP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
5.3.1.1 CVE-2014-9222 . . . . . . . . . . . . . . . . . . . . . . . . 39
5.3.1.2 CVE-2014-4019 . . . . . . . . . . . . . . . . . . . . . . . . 41
5.3.1.3 CVE-2013-6786 . . . . . . . . . . . . . . . . . . . . . . . . 42
5.3.1.4 Modem Yönetim Arayüzü . . . . . . . . . . . . . . . . . . 42
5.3.2 TR-069 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
5.4 HoneyThing Kaytlar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
5.4.1 HTTP Kaytlar . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44
5.4.2 TR-069 Kaytlar . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
5.4.3 Sistem Kaytlar . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46
5.4.4 Kaytlarn zlenmesi ve Analizi . . . . . . . . . . . . . . . . . . . . 47
5.5 Kurulum ve Kullanm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48
5.6 Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50
5.6.1 Test Ortam . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51
5.6.2 Test Sonuçlar . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
6 Sonuç ve Öneriler 56
A TR-069 CPE Sunucu Türlerinin Da§lm 58
B Yaynlar 60
Kaynaklar 6
Dubaization of Istanbul:insights from the knowledgebased urban development journey of an emerging local economy
No full textKnowledge-based urban development (KBUD) has become a popular pursuit for cities, especially from the developing countries, to fast track the catching up process with their counterparts in developed nations. Nevertheless, for these cities the KBUD progress is daunting and full of challenges. The authors aim to shed light on the major KBUD challenges of emerging local economies by undertaking an in-depth empirical investigation in one such city. They scrutinize the prospects and constraints of Istanbul in her KBUD journey through comparative performance and policy context analyses. The findings reveal invaluable insights, not only for Istanbul to reshape the policy context and align development with contemporary KBUD better, but also for other emerging local economies to learn from these experiences
Social behavioral change for sustainable urban transportation under TDM concept : a case study of Istanbul
No full textIncreasing population in urban areas necessitates increasing levels of mix and modes of transportation, roads, land use, which all lead to pollution and waste of all sorts. Usu- ally longer, wider and larger urban and interurban roads for motorized vehicles lead to further increases in number of cars with fewer, usually single, people in them, forming an unavoidable basis of an unsustainable society and mobility. In order to achieve sus- tainable cities and economies, in addition to smart use of land, intelligent transportation systems, clean and green vehicles, it is vital to achieve social behavioral change for shift- ing our modes of mobility from motorized means to cleaner, greener, healthier and more economic means such as walking, cycling, and public transportation. Economic, environ- mental, and social concerns about growth of traffic and congestion have caused several mega cities in the world and academics towards the investigations and introduction of different policies and measures in urban areas. Among many policy options, Travel De- mand Management (TDM) policies mainly aim to promote the sustainable modes and to increase an effective use of existing infrastructure by voluntarily controlling the de- mand. With such circumstances, the objectives of this study are as follows: (1) to review existing academic, industrial, governmental and non-governmental literature to examine and understand various sustainable society, sustainable development, sustainable mobil- ity concepts, mechanisms and policies developed and tested in other parts of the world; (2) to establish a framework of social behavioral change policies particularly developed and tested for urban mobility and traffic; (3) to compare various mega-cities on different indicators to better understand the case of Istanbul; (4) to evaluate potentials of TDM policies in Istanbul as well as to find out traffic congestion perception of the residents by conducting face-to-face surveys; (5) to determine current conditions of traffic congestion in Istanbul for the projections of traffic conditions in the coming years of 2018 and 2023, with the help of determined potentials from the survey results under different scenarios by using a micro simulation program PTV VISSIM. As a result of this study, it was revealed that the traffic conditions in Istanbul tend to become worse year by year, but it was also seen that the TDM policies offers noteworthy potential for increased use of sustainable mobility modes and to help significantly reducing congestion levels.Declaration of Authorship ii
Abstract iv
Öz v
Acknowledgments vii
List of Figures x
List of Tables xi
1 Introduction 1 1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.1.1 Sustainability and Transportation . . . . . . . . . . . . . . . . . . . 1
1.1.2 Case Study: Istanbul . . . . . . . . . . . . . . . . . . . . . . . . . . 5
1.2 Research Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
1.3 Organization of the Research . . . . . . . . . . . . . . . . . . . . . . . . . 9
2 Literature Review 10
2.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
2.2 Sustainable Development . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
2.3 Sustainable Transportation . . . . . . . . . . . . . . . . . . . . . . . . . . 13
2.4 Urbanization and Motorization . . . . . . . . . . . . . . . . . . . . . . . . 16
2.4.1 Urbanization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
2.4.2 Motorization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18
2.5 Transportation Related Problems in Mega-cities . . . . . . . . . . . . . . . 20
2.5.1 Congestion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
2.5.2 Air Pollution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
2.5.3 Climate Change . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
2.5.4 Noise . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
2.5.5 Land Use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24
2.6 Sustainable Solutions for Urban Transportation . . . . . . . . . . . . . . . 24
2.6.1 Land-Use Management . . . . . . . . . . . . . . . . . . . . . . . . . 26
2.6.2 Travel Demand Management . . . . . . . . . . . . . . . . . . . . . 27
2.6.3 Workplace Travel Plan (WTP) . . . . . . . . . . . . . . . . . . . . 29
2.6.4 School Travel Plans (STP) . . . . . . . . . . . . . . . . . . . . . . . 31
2.6.5 Personalized Travel Planning (PTP) . . . . . . . . . . . . . . . . . 34
2.6.6 Marketing, Information and Travel Awareness (MITA) . . . . . . . 36
2.6.7 Car Clubs Car Co-operatives or Car Sharing Schemes (CC-CS) . . 38
2.6.8 Teleworking(Telecommuting, Teleconferencing, andShoppingfrom Home) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
2.7 Case Study of Istanbul . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
2.7.1 Road Network and Motorization in Istanbul . . . . . . . . . . . . . 41
2.7.2 Public Transportation in Istanbul . . . . . . . . . . . . . . . . . . . 45
2.7.3 Comparisons of Istanbul and Different Mega-Cities on Various In- dicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
3 Methodology 53
3.1 Simulation Modeling . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53
3.1.1 A Brief Description of PTV-VISSIM . . . . . . . . . . . . . . . . . 54
3.1.2 Selected Network: Altunizade District . . . . . . . . . . . . . . . . 55
3.1.3 Modeling Network . . . . . . . . . . . . . . . . . . . . . . . . . . . 56
3.1.4 Validation of the Model and Experimental Procedure . . . . . . . . 58
3.2 Survey Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
3.2.1 The Survey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
3.2.2 The Need for Calculating the Potential Effects . . . . . . . . . . . 61
3.2.3 Distribution of Questions . . . . . . . . . . . . . . . . . . . . . . . 61
3.2.4 Potential Effect Calculation . . . . . . . . . . . . . . . . . . . . . . 62
3.2.5 Generating Scenarios . . . . . . . . . . . . . . . . . . . . . . . . . . 64
4 Results 65 4.1 Representativeness of Respondents . . . . . . . . . . . . . . . . . . . . . . 65
4.2 Traffic Perceptions of Residents in Istanbul . . . . . . . . . . . . . . . . . 65
4.3 Calculating Potential Effects . . . . . . . . . . . . . . . . . . . . . . . . . . 67
4.3.1 Congestion Levels in Istanbul and Future Projections under Dif- ferent Scenarios . . . . . . . . . . . . . . . 68
5 Conclusion 71
A Hypothesis Testing 76 A.1 Computation of Minimum Repetitions . . . . . . . . . . . . . . . . . . . . 76
A.2 Hypothesis Testing for Real System and Simulation . . . . . . . . . . . . . 77
B Survey Questionnaire 79
Bibliography 8
Türkiye’de Bilimsel Bilgiye Erişim; Sorunlar, İşbirliği Alanları ve Çözüm Önerileri
No full text51. Kütüphane Haftası nedeniyle İstanbul Şehir Üniversitesi Kütüphanesi tarafından düzenlenen toplantıda ULAKBİM ve ANKOS bilgiye erişim konusundaki çalışmaları aktardılar.İstanbul Şehir Üniversites
Manası artan bayram
No full textTaha Toros Arşivi, Dosya No: 232-Mithat Cemal Kuntay. Not: Gazetenin "Köşe Penceresi" köşesinde yayımlanmıştır.İstanbul Kalkınma Ajansı (TR10/14/YEN/0033) İstanbul Development Agency (TR10/14/YEN/0033