The IEEE 802.15.4 standard along with ZIGBEE specifications is used as communication standard for minimum power consumption, inexpensive networks such as LR-WPAN. The networks have different topologies depending on its applications such as Peer-to-Peer, Cluster tree, Mesh and STAR topology. In IEEE 802.15.4 standard for MAC layer , there are two modes of operations which are non-beacon mode and beacon mode. In beacon mode, PAN coordinators will send beacon signals to synchronize with their respective nodes, manage the network and the power of the transmitting systems and also perform the time synchronization of the data. Thus, if there are more than one PAN coordinators in the vicinity of each other, there is a probability of the collision of beacon signals from different PAN coordinators which may lead to loss of data. In order to handle this problem, various algorithms through different approaches are being developed but still the problem persists. In this paper, we provide the overview of various beacon collision avoidance algorithms which can reduce the beacon frame collisions and also supports Quality of Service issues.
{"title":"Review of Beacon Collision Avoidance Methods in IEEE 802.15.4 Standard","authors":"Ankita Hatmode, P. Ghare","doi":"10.9790/0661-1903036674","DOIUrl":"https://doi.org/10.9790/0661-1903036674","url":null,"abstract":"The IEEE 802.15.4 standard along with ZIGBEE specifications is used as communication standard for minimum power consumption, inexpensive networks such as LR-WPAN. The networks have different topologies depending on its applications such as Peer-to-Peer, Cluster tree, Mesh and STAR topology. In IEEE 802.15.4 standard for MAC layer , there are two modes of operations which are non-beacon mode and beacon mode. In beacon mode, PAN coordinators will send beacon signals to synchronize with their respective nodes, manage the network and the power of the transmitting systems and also perform the time synchronization of the data. Thus, if there are more than one PAN coordinators in the vicinity of each other, there is a probability of the collision of beacon signals from different PAN coordinators which may lead to loss of data. In order to handle this problem, various algorithms through different approaches are being developed but still the problem persists. In this paper, we provide the overview of various beacon collision avoidance algorithms which can reduce the beacon frame collisions and also supports Quality of Service issues.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89752093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Image fusion is the process of integrating two or more images of a specific scene, captured from different sensors to form a single image that contains all the details of the source images. In satellite remote sensor images, this technique is used in the integration of the geometric detail of a high-resolution panchromatic (PAN) image and the spectral information of a low resolution multi -spectral (MS) image to form a single high resolution multispectral image. For satellite images, wavelet based fusion methods have shown to produce better results. The core objective of this paper is to introduce a new approach by using DualTreeComplex Wavelet Packet Transform (DT-CWPT) and HSV to fuse PAN image and MS image. The merits of using DT-CWPT over Discrete Wavelet Packet Transform (DWPT) and Dualtree Complex Wavelet Transform (DT-CWT) are briefed. Then DT-CWPT and its properties are explained and a new fusion method using DTCWPT and HSV is proposed. Finally evaluation of experimental results using various quality assessment metrics shows that the proposed method performs remarkably better than the other existing wavelet based fusion methods.
{"title":"HSV and Dual Tree Complex Wavelet Packet Transform based Image fusion for Satellite Images","authors":"Dr.G. Dheepa, S. Sukumaran","doi":"10.9790/0661-1903045765","DOIUrl":"https://doi.org/10.9790/0661-1903045765","url":null,"abstract":"Image fusion is the process of integrating two or more images of a specific scene, captured from different sensors to form a single image that contains all the details of the source images. In satellite remote sensor images, this technique is used in the integration of the geometric detail of a high-resolution panchromatic (PAN) image and the spectral information of a low resolution multi -spectral (MS) image to form a single high resolution multispectral image. For satellite images, wavelet based fusion methods have shown to produce better results. The core objective of this paper is to introduce a new approach by using DualTreeComplex Wavelet Packet Transform (DT-CWPT) and HSV to fuse PAN image and MS image. The merits of using DT-CWPT over Discrete Wavelet Packet Transform (DWPT) and Dualtree Complex Wavelet Transform (DT-CWT) are briefed. Then DT-CWPT and its properties are explained and a new fusion method using DTCWPT and HSV is proposed. Finally evaluation of experimental results using various quality assessment metrics shows that the proposed method performs remarkably better than the other existing wavelet based fusion methods.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84796692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In most recent couple of decade numerous analysts investigation is anticipated to break down the criminal with that of wrongdoing. It is seen that there is a lot of acceleration in the wrongdoing rate because of the crevice between the ideal use of investigation and advances. In view of this there are numerous new accommodation for the advancement of new strategy and procedures in the field of wrongdoing examination utilizing the strategies built up on information mining, criminological, picture change over, and social mining.The vital part of computerized face off regarding is to enhance the examination of criminal exercises that include assemble, to save, investigate, advanced gadgets and give mechanical and logical statement, and to give the vital approval to experts. To consequently assemble the get archives into a rundown of important classes diverse band procedures can be utilized. Report band includes descriptor and descriptors destruction. In this paper, displays a model utilizing new mode for assessment of report bunching of criminal database by utilizing bi-secting k-implies grouping approach. This model exhibit the criminal information basing on the sort wrongdoing. Fileterms: Clustering, far from being obviously true figuring, mining.
{"title":"Bi-Secting K-Means Of Document Clustering For Forensic Analysis of Computer Inspection","authors":"E. YesuBabu, M. Nageswararao","doi":"10.9790/0661-1904017882","DOIUrl":"https://doi.org/10.9790/0661-1904017882","url":null,"abstract":"In most recent couple of decade numerous analysts investigation is anticipated to break down the criminal with that of wrongdoing. It is seen that there is a lot of acceleration in the wrongdoing rate because of the crevice between the ideal use of investigation and advances. In view of this there are numerous new accommodation for the advancement of new strategy and procedures in the field of wrongdoing examination utilizing the strategies built up on information mining, criminological, picture change over, and social mining.The vital part of computerized face off regarding is to enhance the examination of criminal exercises that include assemble, to save, investigate, advanced gadgets and give mechanical and logical statement, and to give the vital approval to experts. To consequently assemble the get archives into a rundown of important classes diverse band procedures can be utilized. Report band includes descriptor and descriptors destruction. In this paper, displays a model utilizing new mode for assessment of report bunching of criminal database by utilizing bi-secting k-implies grouping approach. This model exhibit the criminal information basing on the sort wrongdoing. Fileterms: Clustering, far from being obviously true figuring, mining.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88782419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Jafarova, Z. Sadygov, A. Dovlatov, L. A. Aliyeva, E. S. Tapdygov, K. A. Askerova
There have been investigated reactive properties of silicon avalanche photodiodes (MAPDMicropixel Avalanche Photodiode) with deeply buried micropixels (amplification channels) within AC signal frequencies f=(50-500)kHz. By experiment is found out that measured capacitance of structures involving three p-n junctions in section passing through the pixels increases exponentially with Ufor (negative potential is applying to n-Si substrate) reaches maximum and at certain value Ufor= Uinv changes the sign becoming the negative capacitance (equivalent inductance). The magnitude of active component of complete conduction G grows with the applied voltage and reaches maximum value ~70 mS at Ufor= 1,0 V (f=500 kHz). There has been calculated difference in phase appearing between current and voltage and it is shown that at Ufor=0 V the = 80 o and passes through the zero at Ufor = 0,55 V. The magnitude of negative capacitance recalculated to the inductance value with the growth of forward bias being decreased sharply tends to the saturation.
{"title":"The Equivalent Inductance Silicon Micro-Pixel Avalance Photodiodes","authors":"E. Jafarova, Z. Sadygov, A. Dovlatov, L. A. Aliyeva, E. S. Tapdygov, K. A. Askerova","doi":"10.9790/3021-0705016670","DOIUrl":"https://doi.org/10.9790/3021-0705016670","url":null,"abstract":"There have been investigated reactive properties of silicon avalanche photodiodes (MAPDMicropixel Avalanche Photodiode) with deeply buried micropixels (amplification channels) within AC signal frequencies f=(50-500)kHz. By experiment is found out that measured capacitance of structures involving three p-n junctions in section passing through the pixels increases exponentially with Ufor (negative potential is applying to n-Si substrate) reaches maximum and at certain value Ufor= Uinv changes the sign becoming the negative capacitance (equivalent inductance). The magnitude of active component of complete conduction G grows with the applied voltage and reaches maximum value ~70 mS at Ufor= 1,0 V (f=500 kHz). There has been calculated difference in phase appearing between current and voltage and it is shown that at Ufor=0 V the = 80 o and passes through the zero at Ufor = 0,55 V. The magnitude of negative capacitance recalculated to the inductance value with the growth of forward bias being decreased sharply tends to the saturation.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84619576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Open domain natural language question answering (QA) is a process of automatically finding answers to questions searching collections of text files. Question answering (QA) is a long-standing challenge in NLP, and the community has introduced several paradigms and datasets for the task over the past few years. These patterns differ from each other in the type of questions and answers and the size of the training data, from a few hundreds to millions of examples. Context-aware QA paradigm and two most notable types of supervisions are coarse sentence-level and fine-grained span-level. In this paper we analyse different intensive researches in semi-supervised learning for question-answering.
{"title":"SSL-QA: Analysis of Semi-Supervised Learning for QuestionAnswering","authors":"Parth Patel, Jignesh Prajapati","doi":"10.9790/0661-1903051415","DOIUrl":"https://doi.org/10.9790/0661-1903051415","url":null,"abstract":"Open domain natural language question answering (QA) is a process of automatically finding answers to questions searching collections of text files. Question answering (QA) is a long-standing challenge in NLP, and the community has introduced several paradigms and datasets for the task over the past few years. These patterns differ from each other in the type of questions and answers and the size of the training data, from a few hundreds to millions of examples. Context-aware QA paradigm and two most notable types of supervisions are coarse sentence-level and fine-grained span-level. In this paper we analyse different intensive researches in semi-supervised learning for question-answering.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77137338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bushra SarwatAra Syed, Harshali P. Patil, M. Atique
Sentimental Analysis has become most profound research areas for prediction and classification. Student’s discussion on social media contains sentiwords that are a word or set of words expressing some thought or judgment or idea about something which provides us with some idea about their experiences in learning and views about the particular field [5]. Data from social media site would be raw and difficult to understand but by analyzing it through supervised learning approach we can find out the exact views of students. In this Paper MultiLabel Text Classification is done with Label Correlational Model will give us desired result which wasn’t possible with conventional Single Label Classification. The proposed work is to extract the features of text in the form of labels and Correlational Model can find the relation between the labels and understanding among Labels.
{"title":"Improved Students’ Social Media Content Analysis Using Machine Learning Algorithm","authors":"Bushra SarwatAra Syed, Harshali P. Patil, M. Atique","doi":"10.9790/0661-1903062732","DOIUrl":"https://doi.org/10.9790/0661-1903062732","url":null,"abstract":"Sentimental Analysis has become most profound research areas for prediction and classification. Student’s discussion on social media contains sentiwords that are a word or set of words expressing some thought or judgment or idea about something which provides us with some idea about their experiences in learning and views about the particular field [5]. Data from social media site would be raw and difficult to understand but by analyzing it through supervised learning approach we can find out the exact views of students. In this Paper MultiLabel Text Classification is done with Label Correlational Model will give us desired result which wasn’t possible with conventional Single Label Classification. The proposed work is to extract the features of text in the form of labels and Correlational Model can find the relation between the labels and understanding among Labels.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81375100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Usability Issues in Digital Government: A Review of Literature","authors":"Rini Yudesia Naswir, Roslina Ibrahim, N. Maarop","doi":"10.9790/0661-1903061014","DOIUrl":"https://doi.org/10.9790/0661-1903061014","url":null,"abstract":"","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81419527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Most researchers concerning real time distributed scheduling assumes constraints to be accurate. However, in many situations the values of these parameters are indistinguishable. The indistinctness of parameters suggests that we make use of fuzzy logics to decide in what order the requests should be executed to make better utilization of systems. In this research, we are taking a fuzzy dynamic load balancing approach. We get the output feasible surfaces of the optimal utilization and load balanced distributed real time systems with the use of fuzzy inferences systems. We analysed the effects of different fuzzy membership functions on the optimal utilization and load balanced surfaces.
{"title":"Feasible Surfaces of Optimal Utilization and Dynamic Load Balancing of Processors with a Fuzzy Tasks Scheduler for Distributed Real Times System","authors":"P. Singh, D. Sharma","doi":"10.9790/0661-1904012633","DOIUrl":"https://doi.org/10.9790/0661-1904012633","url":null,"abstract":"Most researchers concerning real time distributed scheduling assumes constraints to be accurate. However, in many situations the values of these parameters are indistinguishable. The indistinctness of parameters suggests that we make use of fuzzy logics to decide in what order the requests should be executed to make better utilization of systems. In this research, we are taking a fuzzy dynamic load balancing approach. We get the output feasible surfaces of the optimal utilization and load balanced distributed real time systems with the use of fuzzy inferences systems. We analysed the effects of different fuzzy membership functions on the optimal utilization and load balanced surfaces.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76067506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Gazali, A. N. Alkali, Y. Mohammed, Y. Djauro, D. Muhammed, M. Kodomi
Exploratory discharge of produced water and drilling cuttings from oil and gas production has become a major source of pollutant to the biota. The aim of this study is to review previ-ous research on the environmental effect of such exploratory wastes with emphasis on the Niger Delta region. Drilling waste is composed of Aliphatic Hydrocarbon, Polynuclear Aro-matic Hydrocarbon (PAH) and heavy metals such as cadmium, chromium, lead, mercury, ar-senic, copper, Iron, lead, manganese, zinc, barium and strontium among others which are toxic to the environment. The composition and characteristics of naturally occurring chemical substances in produced water (PW) are closely associated to the geological characteristics of each reservoir. The toxicity of produced water effluent can be reduced when treated before discharging into the sea. Sulphide reducing microorganism which are associated with pro-duced water pose threat to the environment. Barite and bentonite present in most drilling fluid were found to reduce plant growth. Studies in some part of the Niger delta have shown high level of some heavy metals associated with exploratory waste with concentrations higher than world health organization (WHO) standard; these have negative impact on the environment such as massive destruction to aquatic lives and agriculture.
{"title":"Environmental Impact of Produced Water and Driiling Waste Discharges from the Niger Delta Petroleum Industry","authors":"A. Gazali, A. N. Alkali, Y. Mohammed, Y. Djauro, D. Muhammed, M. Kodomi","doi":"10.9790/3021-0706012229","DOIUrl":"https://doi.org/10.9790/3021-0706012229","url":null,"abstract":"Exploratory discharge of produced water and drilling cuttings from oil and gas production has become a major source of pollutant to the biota. The aim of this study is to review previ-ous research on the environmental effect of such exploratory wastes with emphasis on the Niger Delta region. Drilling waste is composed of Aliphatic Hydrocarbon, Polynuclear Aro-matic Hydrocarbon (PAH) and heavy metals such as cadmium, chromium, lead, mercury, ar-senic, copper, Iron, lead, manganese, zinc, barium and strontium among others which are toxic to the environment. The composition and characteristics of naturally occurring chemical substances in produced water (PW) are closely associated to the geological characteristics of each reservoir. The toxicity of produced water effluent can be reduced when treated before discharging into the sea. Sulphide reducing microorganism which are associated with pro-duced water pose threat to the environment. Barite and bentonite present in most drilling fluid were found to reduce plant growth. Studies in some part of the Niger delta have shown high level of some heavy metals associated with exploratory waste with concentrations higher than world health organization (WHO) standard; these have negative impact on the environment such as massive destruction to aquatic lives and agriculture.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75869466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a novel pattern based feature descriptor named as Local Differential Excitation Binary Cooccurrence Pattern (LDEBCoP) for texture and biomedical image retrieval. The proposed method exploits the local structure information using differential excitation. Further, to produce more compact local binary patterns the adjacent neighbourhood pixel pairs are considered in the computation of differential excitation. In the proposed method, the co-occurrence of pixel pairs in local binary map have been observed using gray level co-occurrence matrix(GLCM) in different directions and distances for better feature representation. Previous methods have utilized histogram to obtain the frequency information of local pattern map but cooccurrence of pixel pairs is more robust than frequency of patterns. The performance of proposed method is compared with the state of the art pattern based techniques on the results obtained using various bench mark image databases viz., KTH-TIPS, OUTEX texture database, NEMA−CT database and VIA/I– ELCAP database which also includes region of interest CT images.
{"title":"Local Differential Excitation Binary Co-occurrence Pattern (LDEBCoP): A New Descriptor for Texture and Bio-Medical Image Retrieval","authors":"G. V. S. Kumar, P. Mohan","doi":"10.9790/0661-1903053748","DOIUrl":"https://doi.org/10.9790/0661-1903053748","url":null,"abstract":"This paper presents a novel pattern based feature descriptor named as Local Differential Excitation Binary Cooccurrence Pattern (LDEBCoP) for texture and biomedical image retrieval. The proposed method exploits the local structure information using differential excitation. Further, to produce more compact local binary patterns the adjacent neighbourhood pixel pairs are considered in the computation of differential excitation. In the proposed method, the co-occurrence of pixel pairs in local binary map have been observed using gray level co-occurrence matrix(GLCM) in different directions and distances for better feature representation. Previous methods have utilized histogram to obtain the frequency information of local pattern map but cooccurrence of pixel pairs is more robust than frequency of patterns. The performance of proposed method is compared with the state of the art pattern based techniques on the results obtained using various bench mark image databases viz., KTH-TIPS, OUTEX texture database, NEMA−CT database and VIA/I– ELCAP database which also includes region of interest CT images.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81922986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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