Dağ, Tamer
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Dağ, Tamer
T.,Dağ
T. Dağ
Tamer, Dağ
Dag, Tamer
T.,Dag
T. Dag
Tamer, Dag
Tamer Dağ
Da?, Tamer
T.,Dağ
T. Dağ
Tamer, Dağ
Dag, Tamer
T.,Dag
T. Dag
Tamer, Dag
Tamer Dağ
Da?, Tamer
Job Title
Doç. Dr.
Email Address
Main Affiliation
Computer Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
15
LIFE ON LAND
0
Research Products
16
PEACE, JUSTICE AND STRONG INSTITUTIONS
0
Research Products
14
LIFE BELOW WATER
1
Research Products
6
CLEAN WATER AND SANITATION
0
Research Products
3
GOOD HEALTH AND WELL-BEING
1
Research Products
17
PARTNERSHIPS FOR THE GOALS
0
Research Products
4
QUALITY EDUCATION
0
Research Products
2
ZERO HUNGER
0
Research Products
10
REDUCED INEQUALITIES
0
Research Products
7
AFFORDABLE AND CLEAN ENERGY
6
Research Products
13
CLIMATE ACTION
1
Research Products
1
NO POVERTY
0
Research Products
9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
2
Research Products
12
RESPONSIBLE CONSUMPTION AND PRODUCTION
1
Research Products
8
DECENT WORK AND ECONOMIC GROWTH
0
Research Products
11
SUSTAINABLE CITIES AND COMMUNITIES
2
Research Products
5
GENDER EQUALITY
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output
47
Articles
12
Views / Downloads
426/5732
Supervised MSc Theses
11
Supervised PhD Theses
5
WoS Citation Count
210
Scopus Citation Count
301
WoS h-index
8
Scopus h-index
9
Patents
0
Projects
0
WoS Citations per Publication
4.47
Scopus Citations per Publication
6.40
Open Access Source
31
Supervised Theses
16
| Journal | Count |
|---|---|
| 29th Ieee Conference on Signal Processing and Communications Applications (Siu 2021) | 2 |
| IEEE Access | 2 |
| 2016 IEEE 3rd International Symposium on Telecommunication Technologies (ISTT) | 1 |
| 2016 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) | 1 |
| 2019 International Conference on Sustainable Information Engineering and Technology (SIET) | 1 |
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Scopus Quartile Distribution
Competency Cloud
47 results
Scholarly Output Search Results
Now showing 1 - 10 of 47
Master Thesis Design and Implementation of a Mobile Prescription System With Patient-Healthcare Professional Interaction(Kadir Has Üniversitesi, 2015) Öztürk, Çağdaş Egemen; Dağ, TamerIn this thesis, a mobile prescription reminder and scheduling system application with patient-healthcare professional interaction is designed and implemented. By using the application, different types of users are able to create and manage prescriptions and are reminded to take the medication based on the prescription data. Besides, users are able to reach the prospectuses of the drugs. One of the most important functionality of the application is to provide patient-healthcare professional interaction. By using the application, healthcare professionals can assign prescriptions to their patients and they can also monitor their medicine compliance. Since the medicine compliance is very important to have an effective treatment, the main goal of this application is to help people to take their medicines on time and find the prospectus information of the drugs easily by using their mobile phones.Conference Object An Energy Efficient Routing Algorithm (x-Centric Routing) for Sensor Networks(INT INST Informatics & Systemics, 2011) Ataç, Göktuğ; Dağ, TamerRecent developments in wireless communications and electronics technologies have enabled the progress in low cost sensor networks. Sensor networks differ from traditional networks in several ways such as the severe energy constraints redundant low-rate date and many-to-one flows that the sensor networks require. One of the major challenges facing the design of a routing protocol for Wireless Sensor Networks (WSNs) is to find the most reliable path between the sources and the sink node by considering the energy awareness as an essential design parameter. This paper introduces a new routing protocol called as X-Centric routing by considering the above parameters. Under the X-Centric routing the decision making mechanism depends on the capacity of the sink node by switching between address-centric routing (AC-Routing) and data-centric routing (DC-Routing). The design tradeoffs between energy and communication overhead savings in these routing algorithms have been considered by considering the advantages and performance issues of each routing algorithm.Article Citation - WoS: 64Citation - Scopus: 89Energy Aware Multi-Hop Routing Protocol for Wsns(IEEE, 2018) Cengiz, Korhan; Dağ, TamerIn this paper we propose an energy-efficient multi-hop routing protocol for wireless sensor networks (WSNs). The nature of sensor nodes with limited batteries and inefficient protocols are the key limiting factors of the sensor network lifetime. We aim to provide for a green routing protocol that can be implemented in a wireless sensor network. Our proposed protocol's most significant achievement is the reduction of the excessive overhead typically seen in most of the routing protocols by employing fixed clustering and reducing the number of cluster head changes. The performance analysis indicates that overhead reduction significantly improves the lifetime as energy consumption in the sensor nodes can be reduced through an energy-efficient protocol. In addition the implementation of the relay nodes allows the transmission of collected cluster data through inter cluster transmissions. As a result the scalability of a wireless sensor network can be increased. The usage of relay nodes also has a positive impact on the energy dissipation in the network.Master Thesis Comparison and Analysis of Various Indoor Positioning Systems Techniques(Kadir Has Üniversitesi, 2016) Demirkol, Derya; Da?, Tamerindoor Positioning has been a research subject in order to facilitate people life easier. Different type of methods has been implemented and tested by the years. The Global Positioning System (GPS) is a satellite based navigation system. This technique is using outdoor environment to navigate people or buildings. in indoor positioning GPS signals are usually too weak to provide accurate positioning estimate. Other technique need to investigate to get better result of accuracy. Ultrasonic Positioning Systems RFiD Computer Vision System RF Wireless indoor Positioning System has been used. Recent year Wireless indoor Positioning Technique is most popular technique. it is easier to set up every indoor environment by using Access Points (AP) and costs are very low comparing to other techniques. Also Wireless technique does not need any extra component or effort. in this thesis indoor Positioning techniques were investigated. Different algorithms were implemented to estimate location in indoor areas and accuracy comparison has been made by using Wireless technology.Conference Object Citation - WoS: 13Citation - Scopus: 17Low Energy Fixed Clustering Algorithm (lefca) for Wireless Sensor Networks(IEEE, 2015) Cengiz, Korhan; Dağ, TamerWireless sensor networks (WSNs) have become an important part of our lives as they can be used in vast application areas from disaster relief to health care. As a consequence the life span and the energy consumption of a WSN has become a challenging research area. According to the existing studies instead of using direct transmission or multi-hop routing clustering can significantly reduce the energy consumption of sensor nodes and can prolong the lifetime of a WSN. In this paper we propose a low energy fixed clustering algorithm (LEFCA) for WSNs. With LEFCA the clusters are constructed during the set-up phase. A sensor node which becomes a member of a cluster stays in the same cluster throughout the life span of the network. LEFCA not only improves the lifetime of the network but also decreases the energy dissipation and increases the throughput significantly.Doctoral Thesis Identification of Critical Proteins Associated With Learning Process for Down Syndrome(Kadir Has Üniversitesi, 2020) Kulan, Handan; Dağ, TamerDS protein profilleri laboratuvarda biyokimyasal teknikler uygulayarak gözlemlenmektedir. Fakat, elde edilen protein listesi uzundur ve listedeki her protein DS ile alakalı değildir. Bu yüzden, DS analizi ve tedavisinde, protein ifade miktarları istatiksel metodlar ve makine öğrenmesi teknikleri uygulayarak analiz edilmektedir. Bu tezde, önceki çalışmalara kıyasla, farklı öndeğerlendirme adımları, özellik seçimi ve sınıflandırma teknikleri, farklı veri setleri için protein altkümeleri belirlenmesi için uygulanmıştır. Bu protein altkümeleri fareleri daha doğru şekilde ayrıştırır. Spesifik DS özelliklerinin kritik yolaklara etki eden bu altkümelerdeki proteinler tek tek analiz edildiğinde, seçilmiş proteinlerin öğrenme ve hafıza, sinyal yolakları, Alzheimer hastalığı, bağışıklık sistemi ve hücre ölümü gibi önemli süreçlerde rol aldığı gözlemlenmiştir. Bu tezde seçilen protein alt kümelerinden DS un farklı semptomlarını anlamak için yararlanılabilinir ve DS tedavisinde etkili ilaçlar geliştirmek için kullanılabilinir. The protein profiles of people with DS are observed by applying biochemical tech niques in laboratory. However, the list of analyzed proteins is long and not all proteins in list are not related to DS. Thus, for the analysis and the treatment of DS, protein expression levels have been analyzed by applying statistical procedures and machine learning techniques. In this thesis, compared to previous works, different preprocessing steps, feature selection and classification techniques are applied to define the subsets of proteins for datasets. These subsets differentiate mice more accurately. When these subsets which affect the critical pathways of specific DS aspects are analyzed, it is monitored that selected proteins have vital roles in the processes, such as apoptosis, learning and memory, signaling pathways, immune sys tem and Alzheimers disease (AD). The subsets of proteins selected in this thesis can be applied to interpret the causes of different symptoms in DS and can be utilized to foster effective drugs for the cure of DS.Review Citation - WoS: 23Citation - Scopus: 28A Review on the Recent Energy-Efficient Approaches for the Internet Protocol Stack(Springeropen, 2015) Cengiz, Korhan; Dağ, TamerThe reduction of energy consumption has become a key research area for the information and communication technology (ICT) industry due to economical environmental and marketing reasons. While the environmental direction aims at minimization of greenhouse gas emissions by enforcing the usage of renewable energy in the ICT industry economical and marketing directions lead researchers to design low-power components or develop and enhance energy-saving protocols without an impact on the level of the performance. With the steady increase in the cost of energy the expanding number of energy-hungry components and widespread usage of ICT industry most of the protocols that have become an integral part of our lives but are yet developed without any energy constraints in mind in the past will need to be restructured or developed again. For this reason researchers are studying on all layers of the Internet protocol stack to develop energy-efficient protocols and algorithms. This paper reviews recent approaches for energy efficiency studies for each layer in the Internet protocol stack from the physical layer to the application layer. It is expected that with the deployment of current research output the studies performed at each layer will result in significant energy savings for the ICT industry which in turn will have a positive impact on our lives for their economical and environmental results.Doctoral Thesis Performance Analysis of Low Complexity Maximal Ratio Transmission Approaches in Multi-Relay Networks(Kadir Has Üniversitesi, 2014) Erdoğan, Eylem; Güçlüoğlu, Tansal; Dağ, TamerKablosuz ileti sim a ğlarının artan talebi karşılamak için yüksek veri hızına sahip, yüksek güvenilirlikli ve düşük enerji tüketimli olması gerekmektedir. Bu nedenle, bu doktora tezi düşük karmaşıklığa sahip kuvvetlendir-aktar yapısındaki tek yönlü ve iki yönlü çok antenli ve çok röleli sistemlerin uygulama ve analizlerini sunmaktadır. İlk olarak, iki atamalı maksimum oranlı iletim tekniği kullanılan geleneksek ve fırsatçı yapıdaki çok röleli sistemlerin performansı Rayleigh sönümlemeli kanallarda incelenmektedir. Analiz, kümülatif dağılım fonksiyonu ve moment üreten fonksiyon gibi sinyal-gürültü oranına ait istatistiksel fonksiyonların türetimi ile başlamaktadır. Sonrasında, sembol hata oranı, kesinti olasılığı ve ergodik kapasite bulunmaktadır. İkinci çalışmada maksimum oranlı iletim tekniği ve röle seçimini içeren iki yönlü röleli ağ modeli üzerinde durulmaktadır. Bu model için, toplam sembol hata oranı ve sistem kesinti olasılığı Nakagami-m sönümlemeli kanallarda türetilmektedir. Son olarak, iki yönlü röleli ağ modeli anten ve röle seçimiyle beraber Nakagami-m sönümlemeli kanallarda analiz edilmekte ve sistem kesinti olasılığı elde edilmektedir.Master Thesis Location-Allocation Through Machine Learning for E-Commerce Logistic Services(Kadir Has Üniversitesi, 2022) TOPUZ, TAYYİP; Tamer DağCompanies desire to expand their businesses in such a way that there will not be any loss in their revenues. An e-commerce logistics company functions as the distribution and delivery of goods to buyers. To expand the business, opening new branches is a critical decision since determining the location of a branch correctly will not only help an e commerce logistics company to increase its revenue but also improve customer satisfaction. The logistic network, which is based on locations, is the most vital input for their business. For such decisions, data science is becoming an essential tool in recent years. Research shows that demographic information has a considerable impact on consumer behavior in e-commerce. In this thesis, the demand potential is studied by using demographic data and current demand for an e-commerce logistics company. The outcome of this work can be used to determine the location of new branches. Machine learning techniques are being used to decide the location of a new branch with the help of delivery demand potential prediction.Conference Object Citation - WoS: 1Citation - Scopus: 4An Improved Hybrid Stable Election Routing Protocol for Large Scale Wsns(IEEE, 2021) Hamad, Lana I. S.; Dag, Tamer; Gucluoglu, TansalIn the recent years, wireless sensor networks have become prevalent in a diverse range of applications. Throughout the massive usage of wireless sensor networks, some applications require sensing and/or data collection over large areas of interest. In such applications maximizing the network lifetime thus an efficient energy consumption becomes very critical. In this paper, an improved routing protocol for large-scale WSNs based on the well-known Stable Election Protocol is proposed. With this work, the existing Stable Election Protocol is enhanced by introducing low-cost relay nodes that help to increase the lifetime and the throughput of the network. The communication between the sensor nodes and the base station is established through cluster heads and relay nodes. With the relay nodes, the simulation results show an increase in the network stability period by 34.5% and the throughput by 23%.
