Kurumsal müşterilerimize ihtiyaçları doğrultusunda tasarımcı ağımızla özgün, trendlere uygun, kullanışlı hediyelik tasarım ürünler sunuyoruz. Bu çözümler ile kurumsal müşterilerimizin müşterileri, iş birlikçileri, tedarikçileri ve çalışanları ile ilişkilerini güçlendirmesini sağlıyoruz.
FUZZY-CLUSTERING BASED DATA GATHERING IN WIRELESS SENSOR NETWORK ijsc
Wireless Sensor Networks (WSN) is spatially distributed, collection of sensor nodes for the purpose of
monitoring physical or environmental conditions, such as temperature, sound, pressure, etc. and to
cooperatively pass their data through the network to a base station. The critical challenge is to minimize
the energy consumption in data gathering and forwarding from sensor nodes to the sink. Cluster based
data aggregation is one of the most popular communication protocols in this field. Clustering is an
important procedure for extending the network lifetime in wireless sensor networks. Cluster Heads (CH)
aggregate data from relevant cluster nodes and send it to the base station. A main challenge in WSNs is to
select suitable CHs. Another communication protocol is based on a tree construction. In this protocol,
energy consumption is low because there are short paths between the sensors. In this paper, Dynamic
Fuzzy Clustering data aggregation is introduced. This approach is based on clustering and minimum
spanning tree. The proposed method initially uses fuzzy decision making approach for the selection of CHs.
Afterward a minimum spanning tree is constructed based on CHs. CHs are selected efficiently and
accurately. The combining clustering and tree structure is reclaiming the advantages of the previous
structures. Our method is compared to the well-known data aggregation methods, in terms of energy
consumption and the amount of energy residuary in each sensor network lifetime. Our method decreases
energy consumption of each node. When the best CHs selected and the minimum spanning tree is formed by
the best CHs, the remaining energy of the nodes will be preserved. Node lifetime has an important role in
WSN. Using our proposed data aggregation algorithm, survival of the network is improved
DISSECT AND ENRICH DIVIDE AND RULE SCHEME FOR WIRELESS SENSOR NETWORK TO SOLV...ijsc
In remote sensor system, sensor hubs have the restricted battery power, so to use the vitality in a more
productive manner a few creator's created a few strategies, yet at the same time there is have to decrease
the vitality utilization of hubs. In this paper, we presented another method called as 'Partition and Rule
strategy' to unravel the scope dividing so as to open the system field into subfield and next maintain a
strategic distance from the vitality gap issue with the assistance of static bunching. Essentially, in gap and
run plan system range is isolated into three locales to be specific internal, center and external to conquer
the issue of vitality utilization. We execute this work in NS-2 and our recreation results demonstrate that
our system is far superior than old procedures.
Data mining is the knowledge discovery in databases and the gaol is to extract patterns and knowledge from
large amounts of data. The important term in data mining is text mining. Text mining extracts the quality
information highly from text. Statistical pattern learning is used to high quality information. High –quality in
text mining defines the combinations of relevance, novelty and interestingness. Tasks in text mining are text
categorization, text clustering, entity extraction and sentiment analysis. Applications of natural language
processing and analytical methods are highly preferred to turn
FUZZY-CLUSTERING BASED DATA GATHERING IN WIRELESS SENSOR NETWORK ijsc
Wireless Sensor Networks (WSN) is spatially distributed, collection of sensor nodes for the purpose of
monitoring physical or environmental conditions, such as temperature, sound, pressure, etc. and to
cooperatively pass their data through the network to a base station. The critical challenge is to minimize
the energy consumption in data gathering and forwarding from sensor nodes to the sink. Cluster based
data aggregation is one of the most popular communication protocols in this field. Clustering is an
important procedure for extending the network lifetime in wireless sensor networks. Cluster Heads (CH)
aggregate data from relevant cluster nodes and send it to the base station. A main challenge in WSNs is to
select suitable CHs. Another communication protocol is based on a tree construction. In this protocol,
energy consumption is low because there are short paths between the sensors. In this paper, Dynamic
Fuzzy Clustering data aggregation is introduced. This approach is based on clustering and minimum
spanning tree. The proposed method initially uses fuzzy decision making approach for the selection of CHs.
Afterward a minimum spanning tree is constructed based on CHs. CHs are selected efficiently and
accurately. The combining clustering and tree structure is reclaiming the advantages of the previous
structures. Our method is compared to the well-known data aggregation methods, in terms of energy
consumption and the amount of energy residuary in each sensor network lifetime. Our method decreases
energy consumption of each node. When the best CHs selected and the minimum spanning tree is formed by
the best CHs, the remaining energy of the nodes will be preserved. Node lifetime has an important role in
WSN. Using our proposed data aggregation algorithm, survival of the network is improved
DISSECT AND ENRICH DIVIDE AND RULE SCHEME FOR WIRELESS SENSOR NETWORK TO SOLV...ijsc
In remote sensor system, sensor hubs have the restricted battery power, so to use the vitality in a more
productive manner a few creator's created a few strategies, yet at the same time there is have to decrease
the vitality utilization of hubs. In this paper, we presented another method called as 'Partition and Rule
strategy' to unravel the scope dividing so as to open the system field into subfield and next maintain a
strategic distance from the vitality gap issue with the assistance of static bunching. Essentially, in gap and
run plan system range is isolated into three locales to be specific internal, center and external to conquer
the issue of vitality utilization. We execute this work in NS-2 and our recreation results demonstrate that
our system is far superior than old procedures.
Data mining is the knowledge discovery in databases and the gaol is to extract patterns and knowledge from
large amounts of data. The important term in data mining is text mining. Text mining extracts the quality
information highly from text. Statistical pattern learning is used to high quality information. High –quality in
text mining defines the combinations of relevance, novelty and interestingness. Tasks in text mining are text
categorization, text clustering, entity extraction and sentiment analysis. Applications of natural language
processing and analytical methods are highly preferred to turn
EDGE PRESERVATION OF ENHANCED FUZZY MEDIAN MEAN FILTER USING DECISION BASED M...ijsc
Image noise refers to random variations in the basic characteristics of image like brightness, intensity or
color difference. These variations are not present in the image which is captured but may occur due to
environmental conditions like sensor temperature or due to circuit of the scanner or other similar issues.
Basically noise means unwanted signals in the image. Various filters have been designed for removal of
almost all types of noise. It has been seen in most of the cases that as a result of high amount of filtering or
repetitive filtering of image for the removal of noise, edges of images mostly get distorted or smeared out. It
means that most of the filtering techniques lead to loss of fine edges of the images which needs to be
preserved in order to enhance the quality of image. This paper has focused on to improve the enhanced
fuzzy median mean filter so that fine edges get preserved in a better way. Experiments have been performed
in MATLAB. Comparative analysis have been done on the basis of PSNR, MSE, BER and RMSE and it has
shown that border correction applied on images improves the results of enhanced fuzzy median mean filter.
A new methodology is developed to analyse existing water quality monitoring networks. This methodology
incorporates different aspects of monitoring, including vulnerability/probability assessment, environmental
health risk, the value of information, and redundancy reduction. The work starts with a formulation of a
conceptual framework for groundwater quality monitoring to represent the methodology’s context. This
work presents the development of Bayesian techniques for the assessment of groundwater quality. The
primary aim is to develop a predictive model and a computer system to assess and predict the impact of
pollutants on the water column. The process of the analysis begins by postulating a model in light of all
available knowledge taken from relevant phenomenon. The previous knowledge as represented by the prior
distribution of the model parameters is then combined with the new data through Bayes’ theorem to yield
the current knowledge represented by the posterior distribution of model parameters. This process of
updating information about the unknown model parameters is then repeated in a sequential manner as
more and more new information becomes available.
Power generation today is an increasingly demanding task, worldwide, because of emphasis on
efficient ways of generation. A power station is a complicated multivariable controlled plant, which
consists of boiler, turbine, generator, power network and loads. The power sector sustainability depends
on innovative technology and practices in maintaining unit performance, operation, flexibility and
availability . The demands being placed on Control & Instrumentation engineers include economic
optimization, practical methods for adaptive and learning control, software tools that place state-of-art
methods . As a result, Fuzzy techniques are explored which aim to exploit tolerance for imprecision,
uncertainty, and partial truth to achieve robustness, tractability, and low cost. This paper proposes use of
fuzzy techniques in two critical areas of Soot Blowing optimization and Drum Level Control.
Presently, in most of the Power stations the soot blowing is done based on a fixed time schedule. In many
instances, certain boiler stages are blown unnecessarily, resulting in efficiency loss. Therefore an fuzzy
based system is proposed which shall indicate individual section cleanliness to determine correct soot
blowing scheme. Practical soot blowing optimization improves boiler performance, reduces NOx emissions
and minimizes disturbances caused by soot blower activation. Due to the dynamic behaviour of power
plant, controlling the Drum Level is critical. If the level becomes too low, the boiler can run dry resulting
in mechanical damage of the drum and boiler tubes. If the level becomes too high, water can be carried
over into the Steam Turbine which shall result in catastrophic damage. Therefore an fuzzy based system is
proposed to replace the existing conventional controllers
Safety through design is a critical consideration in oven and furnace manufacturing. This slideshow takes a look at industry standards governing their design and identifies common safety oversights.
This work considers the multi-objective optimization problem constrained by a system of bipolar fuzzy relational equations with max-product composition. An integer optimization based technique for order of preference by similarity to the ideal solution is proposed for solving such a problem. Some critical features associated with the feasible domain and optimal solutions of the bipolar max-Tp equation constrained optimization problem are studied. An illustrative example verifying the idea of this paper is included. This
is the first attempt to study the bipolar max-T equation constrained multi-objective optimization problems
from an integer programming viewpoint.
FACE SKETCH GENERATION USING EVOLUTIONARY COMPUTING ijsc
In this paper, an evolutionary genetic algorithm is used to generate face sketch from the face description. Face sketch generation without face image is extremely important for the law enforcement agencies. The genetic algorithm is used for generating face sketch through several iterations of the lgorithm. The face image description is captured through graphical user interface just by clicking options for each face
features. Face features are used to extract face images and generate initial population for the genetic algorithm. Genetic operators such as selection, crossover and mutation are used for next generation of the population. The Genetic algorithm cycle is repeated until the user is satisfied with face sketch generated. The novelty of the paper includes face sketch generation from face image description. The result shows that
evolutionary based technique for sketch generation produces the desired face sketch.
Some slip, trip and fall hazards are obvious, but many are
difficult to spot. Each of the following pictures have at least
one slipping or tripping hazard. Can you spot them all?
Markalar ve yetenekler fikirborsasında buluşur. Katılın ödüllerin yanı sıra staj ve iş imkanını kendi projelerinizle yaratın.fikirborsasi.com wedecide.net
Tasarım konusunda uzmanlaşmış olan Kirli Kirpi, başta firma kurumsal sunumları olmak üzere, Logo, kurumsal kimlik oluşturulması, mimari 3d görsellerin hazırlanması konularında hizmet vermektedir.
Dijital medya olarak Arama Motoru Optimizasyonu (SEO) ve Sosyal Medya Yönetimi konularında hizmet vermektedir.
Firma detayları için www.kirlikirpi.com adresini ziyaret edebilir, firmamız ile ilgili bilgilere ulaşmak için ekteki sunum dosyamızı inceleyebilir, özgün satış teklifimizin ve elde edebileceğiniz sonuçların detaylarını görüntüleyebilirsiniz.
NCSA Medya olarak ülke ekonomisinin kalkınmasına yönelik, yaratıcı, yenilikçi, rekabetçi ve girişimci yaklaşımlarla, medya sektöründe hizmet vermiş olduğumuz bölgenin gelişim ve değişim süreçleriyle ilgili ihtiyaçlarını tespit ederek,ilgili kişilerle bilgi birikimi paylaşımı ve bu paylaşımı uygulamalara dönüştürecek fikir ve projeler ile, İnsanlara en kaliteli içerik, rasyonel yaklaşım ve kitlelere yönelik eğitici ve bilgi sahibi olabileceği eserler üreten,güvenilir bir kurum olup, toplumun yaşam kalitesini yükseltmeyi ve faaliyet göstermiş olduğumuz alanlarda çalışmalarımızın ve projelerimizin çevreye ve topluma değer katmasını hedeflemekteyiz.
İddialı markaların ve kurumsallaşan kuruluşların,
İddialı olmak isteyip, nesillerce var olmayı hayal eden markaların,
Bilinir olma arzusunda; profesyonelleşen, kaynaklarını yöneten, müşterisine aşık olanların,
Global düşünen, estetik kaygıya sahip kişi ve kurumların
Kendi işinde obsesif danışmanlarıyız.
Profesyonel, disiplinli, zamanı ve danışanını yöneten bir ekibiz…
Marka yönetimi için verimli bir işbirliğiyiz…
Tavsiye sistemleri (recommendation engine) hakkında öğrenmek istediğiniz her şeyi örneklerle bu sunumdan görebilir, bizi @Emarsys_Turkey Twitter adresimizden takip edebilirsiniz.
EDGE PRESERVATION OF ENHANCED FUZZY MEDIAN MEAN FILTER USING DECISION BASED M...ijsc
Image noise refers to random variations in the basic characteristics of image like brightness, intensity or
color difference. These variations are not present in the image which is captured but may occur due to
environmental conditions like sensor temperature or due to circuit of the scanner or other similar issues.
Basically noise means unwanted signals in the image. Various filters have been designed for removal of
almost all types of noise. It has been seen in most of the cases that as a result of high amount of filtering or
repetitive filtering of image for the removal of noise, edges of images mostly get distorted or smeared out. It
means that most of the filtering techniques lead to loss of fine edges of the images which needs to be
preserved in order to enhance the quality of image. This paper has focused on to improve the enhanced
fuzzy median mean filter so that fine edges get preserved in a better way. Experiments have been performed
in MATLAB. Comparative analysis have been done on the basis of PSNR, MSE, BER and RMSE and it has
shown that border correction applied on images improves the results of enhanced fuzzy median mean filter.
A new methodology is developed to analyse existing water quality monitoring networks. This methodology
incorporates different aspects of monitoring, including vulnerability/probability assessment, environmental
health risk, the value of information, and redundancy reduction. The work starts with a formulation of a
conceptual framework for groundwater quality monitoring to represent the methodology’s context. This
work presents the development of Bayesian techniques for the assessment of groundwater quality. The
primary aim is to develop a predictive model and a computer system to assess and predict the impact of
pollutants on the water column. The process of the analysis begins by postulating a model in light of all
available knowledge taken from relevant phenomenon. The previous knowledge as represented by the prior
distribution of the model parameters is then combined with the new data through Bayes’ theorem to yield
the current knowledge represented by the posterior distribution of model parameters. This process of
updating information about the unknown model parameters is then repeated in a sequential manner as
more and more new information becomes available.
Power generation today is an increasingly demanding task, worldwide, because of emphasis on
efficient ways of generation. A power station is a complicated multivariable controlled plant, which
consists of boiler, turbine, generator, power network and loads. The power sector sustainability depends
on innovative technology and practices in maintaining unit performance, operation, flexibility and
availability . The demands being placed on Control & Instrumentation engineers include economic
optimization, practical methods for adaptive and learning control, software tools that place state-of-art
methods . As a result, Fuzzy techniques are explored which aim to exploit tolerance for imprecision,
uncertainty, and partial truth to achieve robustness, tractability, and low cost. This paper proposes use of
fuzzy techniques in two critical areas of Soot Blowing optimization and Drum Level Control.
Presently, in most of the Power stations the soot blowing is done based on a fixed time schedule. In many
instances, certain boiler stages are blown unnecessarily, resulting in efficiency loss. Therefore an fuzzy
based system is proposed which shall indicate individual section cleanliness to determine correct soot
blowing scheme. Practical soot blowing optimization improves boiler performance, reduces NOx emissions
and minimizes disturbances caused by soot blower activation. Due to the dynamic behaviour of power
plant, controlling the Drum Level is critical. If the level becomes too low, the boiler can run dry resulting
in mechanical damage of the drum and boiler tubes. If the level becomes too high, water can be carried
over into the Steam Turbine which shall result in catastrophic damage. Therefore an fuzzy based system is
proposed to replace the existing conventional controllers
Safety through design is a critical consideration in oven and furnace manufacturing. This slideshow takes a look at industry standards governing their design and identifies common safety oversights.
This work considers the multi-objective optimization problem constrained by a system of bipolar fuzzy relational equations with max-product composition. An integer optimization based technique for order of preference by similarity to the ideal solution is proposed for solving such a problem. Some critical features associated with the feasible domain and optimal solutions of the bipolar max-Tp equation constrained optimization problem are studied. An illustrative example verifying the idea of this paper is included. This
is the first attempt to study the bipolar max-T equation constrained multi-objective optimization problems
from an integer programming viewpoint.
FACE SKETCH GENERATION USING EVOLUTIONARY COMPUTING ijsc
In this paper, an evolutionary genetic algorithm is used to generate face sketch from the face description. Face sketch generation without face image is extremely important for the law enforcement agencies. The genetic algorithm is used for generating face sketch through several iterations of the lgorithm. The face image description is captured through graphical user interface just by clicking options for each face
features. Face features are used to extract face images and generate initial population for the genetic algorithm. Genetic operators such as selection, crossover and mutation are used for next generation of the population. The Genetic algorithm cycle is repeated until the user is satisfied with face sketch generated. The novelty of the paper includes face sketch generation from face image description. The result shows that
evolutionary based technique for sketch generation produces the desired face sketch.
Some slip, trip and fall hazards are obvious, but many are
difficult to spot. Each of the following pictures have at least
one slipping or tripping hazard. Can you spot them all?
Markalar ve yetenekler fikirborsasında buluşur. Katılın ödüllerin yanı sıra staj ve iş imkanını kendi projelerinizle yaratın.fikirborsasi.com wedecide.net
Tasarım konusunda uzmanlaşmış olan Kirli Kirpi, başta firma kurumsal sunumları olmak üzere, Logo, kurumsal kimlik oluşturulması, mimari 3d görsellerin hazırlanması konularında hizmet vermektedir.
Dijital medya olarak Arama Motoru Optimizasyonu (SEO) ve Sosyal Medya Yönetimi konularında hizmet vermektedir.
Firma detayları için www.kirlikirpi.com adresini ziyaret edebilir, firmamız ile ilgili bilgilere ulaşmak için ekteki sunum dosyamızı inceleyebilir, özgün satış teklifimizin ve elde edebileceğiniz sonuçların detaylarını görüntüleyebilirsiniz.
NCSA Medya olarak ülke ekonomisinin kalkınmasına yönelik, yaratıcı, yenilikçi, rekabetçi ve girişimci yaklaşımlarla, medya sektöründe hizmet vermiş olduğumuz bölgenin gelişim ve değişim süreçleriyle ilgili ihtiyaçlarını tespit ederek,ilgili kişilerle bilgi birikimi paylaşımı ve bu paylaşımı uygulamalara dönüştürecek fikir ve projeler ile, İnsanlara en kaliteli içerik, rasyonel yaklaşım ve kitlelere yönelik eğitici ve bilgi sahibi olabileceği eserler üreten,güvenilir bir kurum olup, toplumun yaşam kalitesini yükseltmeyi ve faaliyet göstermiş olduğumuz alanlarda çalışmalarımızın ve projelerimizin çevreye ve topluma değer katmasını hedeflemekteyiz.
İddialı markaların ve kurumsallaşan kuruluşların,
İddialı olmak isteyip, nesillerce var olmayı hayal eden markaların,
Bilinir olma arzusunda; profesyonelleşen, kaynaklarını yöneten, müşterisine aşık olanların,
Global düşünen, estetik kaygıya sahip kişi ve kurumların
Kendi işinde obsesif danışmanlarıyız.
Profesyonel, disiplinli, zamanı ve danışanını yöneten bir ekibiz…
Marka yönetimi için verimli bir işbirliğiyiz…
Tavsiye sistemleri (recommendation engine) hakkında öğrenmek istediğiniz her şeyi örneklerle bu sunumdan görebilir, bizi @Emarsys_Turkey Twitter adresimizden takip edebilirsiniz.
Tavsiye sistemleri (recommendation engine) hakkında öğrenmek istediğiniz her şeyi örneklerle bu sunumdan görebilir, bizi @Emarsys_Turkey Twitter adresimizden takip edebilirsiniz.
360° İletişim olarak rekabetçi ortamda, iş sonuçlarına ulaşmak için iletişimin en önemli süreçlerden biri olduğuna inanıyoruz. Bu nedenle, gelecek değeri yaratmak isteyen kurumların iş ortağıyız.
İş ortaklarımıza marka değerlerini yükseltmeye yönelik iletişim stratejileri oluşturuyor, sosyal içerikli projelerle algı yönetiminde 360° iletişim çözümleri sunuyoruz.
Happy Partners büyüme potansiyeli olan genç girişimcilerin ve topluma sosyal fayda sağlayan projelerin dijital etki platformu.
Happy Partners dijital odaklı çalışmalarla partnerlerinin markalaşma süreçlerine doğrudan etki eder, stratejiler geliştirir, kampanyalar kurgular.
Yirmi yıla yakın bir süredir faaliyetlerine devam eden firmamız, hasta karyolası alanında Türkiye'de tercih edilen bir hasta yatakları imalatçısı olma ayrıcalığı taşımaktadır. Türkiye'nin ve dünyanın farklı bölgelerine hasta karyolası, hasta yatakları pazarlamaktayız. Kalite, ekonomik fiyat ve ergonomik dizaynı ürettiği tüm ürünler için temel prensip ve kalite politikası olarak benimsemiş olan şirketimiz, sektörde tanınan bir firma olma hedefine ulaşmıştır. Hasta karyolası, hasta yatakları satış ve kiralama faaliyetlerine uzun süre devam eden firmamız artık hasta karyolası imalatçıları ve hasta yatağı üreticileri içinde ismi başarılarıyla anılan bir firma konumundadır.
2. Türkiye’deki en heyecan verici tasarımların ortaya çıktığı
www.nishmoda.com adlı platformun kurucusuyuz. Kurumsal müşterilere ve
kullanıcılara özgü tasarımsal çözümler geliştiriyoruz. 100’den fazla
tasarımcı ile beraber çalışıyoruz. Tasarım sever müşteriye birebir
dokunuyor, taleplerini analiz ediyoruz.
Biz kimiz?
3. Kurumsal müşterilerimize ihtiyaçları doğrultusunda tasarımcı ağımızla
özgün, trendlere uygun, kullanışlı hediyelik tasarım ürünler sunuyoruz. Bu
çözümler ile kurumsal müşterilerimizin müşterileri, iş birlikçileri,
tedarikçileri ve çalışanları ile ilişkilerini güçlendirmesini sağlıyoruz.
Ne Yapıyoruz?
4. Bizim amacımız değer yaratacak ürünleri tasarımsal özellikler kullanarak
oluşturmaktır. Tasarımın fark yarattığına, kalıcı ve iz bırakıcı olduğuna
inanıyoruz. Bu yüzden tasarım odaklı bakış açımızı kurumsal
müşterilerimizde de kullanıyoruz.
Tasarım odaklıyız...
5. Kurumsal müşterilerimizle çalışırken müşteri özgü ve odaklı olmak bizim
için çok önemli. Her müşterimiz ile taleplerini ve değerlerini iyi anladıktan
sonra çalışmaya başlıyoruz. Bu sayede kurumsal müşterilerimize özel
tasarımlar geliştirebiliyoruz. Kurumsal müşterilerimize sağladığımız
tasarımlar sadece onların markasına özgün olmaktadır.
Müşteri odaklıyız...
6. Amacımız sağladığımız tasarımsal çözümlerle kurumsal müşterilerimizin
kendi müşterileri, tedarikçileri ve iş birlikçileri ile daha iyi ilişkiler kurmalarını
sağlamak. Bu yüzden sizlerle olan çalışmalarımızda bir üründen çok değer
yaratan tasarımsal çözüm sunduğumuzu düşünüyoruz.
İletişim odaklıyız...
7. Özel müşterilere uygun tasarımlar
Tedarikçilere ve işbirlikçilere uygun tasarımlar
Çalışanlara uygun tasarımlar
Kurumsal çözümlerimiz...