Pub Date : 2017-11-01DOI: 10.1109/ISPACS.2017.8266550
Hiroyuki Tsuchiya, Yuki Watanabe, Koken Chin, H. San, T. Matsuura, M. Hotta
This paper presents a 14-bit, 400ksps pipeline cyclic analog-to-digital converter (ADC) in 90nm CMOS technology. Each stage is a non-binary cyclic ADC based on ß-expansion and the proposed ADC is designed in 3-stage pipeline structure. 16-bit non-binary output code of 3-stage is selected as 4-4-8 bits according to the considerations of total power consumption and conversion speed of the ADC. We also proposed a radix-value estimation technique for multi-stage non-binary ADC to realize the high linearity of this pipeline cyclic ADC. The SPICE simulation results demonstrate the feasibility and validity of the proposed ADC architecture and radix-value estimation algorithm. Simulated ENOB=14.25-bit is achieved while Fs = 400kSPS. The power consumption of proposed ADC is 10.59mW while the supply voltage is 3.0V.
{"title":"The design of a 14-bit 400kSPS non-binary pipeline cyclic ADC","authors":"Hiroyuki Tsuchiya, Yuki Watanabe, Koken Chin, H. San, T. Matsuura, M. Hotta","doi":"10.1109/ISPACS.2017.8266550","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266550","url":null,"abstract":"This paper presents a 14-bit, 400ksps pipeline cyclic analog-to-digital converter (ADC) in 90nm CMOS technology. Each stage is a non-binary cyclic ADC based on ß-expansion and the proposed ADC is designed in 3-stage pipeline structure. 16-bit non-binary output code of 3-stage is selected as 4-4-8 bits according to the considerations of total power consumption and conversion speed of the ADC. We also proposed a radix-value estimation technique for multi-stage non-binary ADC to realize the high linearity of this pipeline cyclic ADC. The SPICE simulation results demonstrate the feasibility and validity of the proposed ADC architecture and radix-value estimation algorithm. Simulated ENOB=14.25-bit is achieved while Fs = 400kSPS. The power consumption of proposed ADC is 10.59mW while the supply voltage is 3.0V.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"131 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134162572","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}
Pub Date : 2017-11-01DOI: 10.1109/ISPACS.2017.8266512
Cheng-Kuang Wu, Wenqin Lin
A rational and efficient tool is needed for the scheduling of public transport bus services that will satisfy the needs of passengers for different service time requirements. An intelligent urban bus system should not only be able to reduce carbon emissions and traffic congestion, but also to improve transport services. A model is proposed which computes Shapley values for seventeen different time periods in one day for a bus route. A fair allocation of buses based on the Shapley value is made which entails the minimum amount of deployment cost. This study applies data for the rapid transit bus system in the city of Xiamen in China to verify the Shapley value model. The simulation results show that management can easily use this framework to quantitatively allocate buses along routes within the seventeen time periods in one day and that the proposed approach is more efficient than current bus scheduling methods.
{"title":"Using Shapley value for city bus route scheduling","authors":"Cheng-Kuang Wu, Wenqin Lin","doi":"10.1109/ISPACS.2017.8266512","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266512","url":null,"abstract":"A rational and efficient tool is needed for the scheduling of public transport bus services that will satisfy the needs of passengers for different service time requirements. An intelligent urban bus system should not only be able to reduce carbon emissions and traffic congestion, but also to improve transport services. A model is proposed which computes Shapley values for seventeen different time periods in one day for a bus route. A fair allocation of buses based on the Shapley value is made which entails the minimum amount of deployment cost. This study applies data for the rapid transit bus system in the city of Xiamen in China to verify the Shapley value model. The simulation results show that management can easily use this framework to quantitatively allocate buses along routes within the seventeen time periods in one day and that the proposed approach is more efficient than current bus scheduling methods.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134351123","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}
Pub Date : 2017-11-01DOI: 10.1109/ISPACS.2017.8266553
Masafumi Fukuda, Tsukasa Ishii, N. Takai
Along with high performance of electronic appliances, prolongation of the design period is becoming a big issue. If this problem can be solved, time spent on design can be used for circuit performance improvement and development of new circuits. Therefore, efficient circuit design through the assist of computer is required to further improve productivity. Some automatic circuit design methods have been proposed. However, these methods are unsuitable for designing a lot of circuits because it consumes a lot of time to design the new circuit. In this paper, an automatic design method of OP-Amp sizing by inference of machine learning is proposed, and predicts the element value of the circuit. From the simulation results, we succeeded in predicting element values of a circuit that satisfies the desired characteristic about 90% accuracy and shortening the design time.
{"title":"OP-AMP sizing by inference of element values using machine learning","authors":"Masafumi Fukuda, Tsukasa Ishii, N. Takai","doi":"10.1109/ISPACS.2017.8266553","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266553","url":null,"abstract":"Along with high performance of electronic appliances, prolongation of the design period is becoming a big issue. If this problem can be solved, time spent on design can be used for circuit performance improvement and development of new circuits. Therefore, efficient circuit design through the assist of computer is required to further improve productivity. Some automatic circuit design methods have been proposed. However, these methods are unsuitable for designing a lot of circuits because it consumes a lot of time to design the new circuit. In this paper, an automatic design method of OP-Amp sizing by inference of machine learning is proposed, and predicts the element value of the circuit. From the simulation results, we succeeded in predicting element values of a circuit that satisfies the desired characteristic about 90% accuracy and shortening the design time.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133850291","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}
Pub Date : 2017-11-01DOI: 10.1109/ISPACS.2017.8266587
Lu Lu, Hairong Wang, Youhua Fu
The fundamental limit of massive multiple-input-multiple-output (MIMO) system's performance is pilot contamination due to the reuse of the same set of pilot sequences by users in adjacent cells, which can be alleviated by assign the pilot sequences to the users appropriately, power control and many other ways. In this paper, the network model considers stochastic geometry that users are distributed according to a homogeneous Poisson point process (PPP) to simulate the real user distribution. The signal-to-interference-plus-noise (SINR) of uplink can be analytically derived, and combined with the flexible pilot reuse to simulate the reality of the pilot allocation strategy. The users suffer from severe pilot contamination use orthogonal pilot and the others with light contamination can reuse a same set of pilot sequence, ultimately get the optimal pilot reusing factor and achieve a reasonable pilot allocation.
{"title":"Flexible pilot reuse in massive MIMO with random geometric distribution of users","authors":"Lu Lu, Hairong Wang, Youhua Fu","doi":"10.1109/ISPACS.2017.8266587","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266587","url":null,"abstract":"The fundamental limit of massive multiple-input-multiple-output (MIMO) system's performance is pilot contamination due to the reuse of the same set of pilot sequences by users in adjacent cells, which can be alleviated by assign the pilot sequences to the users appropriately, power control and many other ways. In this paper, the network model considers stochastic geometry that users are distributed according to a homogeneous Poisson point process (PPP) to simulate the real user distribution. The signal-to-interference-plus-noise (SINR) of uplink can be analytically derived, and combined with the flexible pilot reuse to simulate the reality of the pilot allocation strategy. The users suffer from severe pilot contamination use orthogonal pilot and the others with light contamination can reuse a same set of pilot sequence, ultimately get the optimal pilot reusing factor and achieve a reasonable pilot allocation.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134253074","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 proposes a non-iterative algorithm on blind image deblurring. This algorithm can restore the degraded images which are blurred by class G. This algorithm is based on that most images spectral amplitude have the similar power law distribution. In accordance with the power law distribution of natural image spectrum, a curve model is proposed to approximate the spectrum of the true image. The OTF(optical transfer function) is estimated by comparing the spectrum of the degraded image with the reconstructed one. Then, the image is restored by employing the estimated OTF and the Wiener filtering. The experiments show that this algorithm obtains a more accurate OTF, and this algorithm can reduce ringing artifacts as compared with some existing algorithms. The quality of the restored images has been enhanced significantly.
{"title":"A non-iterative blind image deblurring algorithm based on OTF estimation","authors":"Weizhe Gao, Jianhua Zou, Xuebin Xu, Zhiguang Zhang","doi":"10.1109/ISPACS.2017.8266554","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266554","url":null,"abstract":"This paper proposes a non-iterative algorithm on blind image deblurring. This algorithm can restore the degraded images which are blurred by class G. This algorithm is based on that most images spectral amplitude have the similar power law distribution. In accordance with the power law distribution of natural image spectrum, a curve model is proposed to approximate the spectrum of the true image. The OTF(optical transfer function) is estimated by comparing the spectrum of the degraded image with the reconstructed one. Then, the image is restored by employing the estimated OTF and the Wiener filtering. The experiments show that this algorithm obtains a more accurate OTF, and this algorithm can reduce ringing artifacts as compared with some existing algorithms. The quality of the restored images has been enhanced significantly.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134578831","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}
Pub Date : 2017-11-01DOI: 10.1109/ISPACS.2017.8266566
Zhenyu Liu, Xiongfeng Deng, Jiajun Li
On account of large and inconsistent propagation delays during transmission in Underwater Wireless Sensor Networks (UWSNs), wormholes bring more destructive than many attacks to localization applications. As a localization algorithm, DV-hop is classic but without secure scheme. A secure localization algorithm for UWSNs— RDV-HOP is brought out, which is based on reputation values and the constraints of propagation distance in UWSNs. In RDV-HOP, the anchor nodes evaluate the reputation of paths to other anchor nodes and broadcast these reputation values to the network. Unknown nodes select credible anchors nodes with high reputation to locate. We analyze the influence of the location accuracy with some parameters in the simulation experiments. The results show that the proposed algorithm can reduce the location error under the wormhole attack.
{"title":"A secure localization algorithm based on reputation against wormhole attack in UWSNS","authors":"Zhenyu Liu, Xiongfeng Deng, Jiajun Li","doi":"10.1109/ISPACS.2017.8266566","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266566","url":null,"abstract":"On account of large and inconsistent propagation delays during transmission in Underwater Wireless Sensor Networks (UWSNs), wormholes bring more destructive than many attacks to localization applications. As a localization algorithm, DV-hop is classic but without secure scheme. A secure localization algorithm for UWSNs— RDV-HOP is brought out, which is based on reputation values and the constraints of propagation distance in UWSNs. In RDV-HOP, the anchor nodes evaluate the reputation of paths to other anchor nodes and broadcast these reputation values to the network. Unknown nodes select credible anchors nodes with high reputation to locate. We analyze the influence of the location accuracy with some parameters in the simulation experiments. The results show that the proposed algorithm can reduce the location error under the wormhole attack.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132140184","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}
Pub Date : 2017-11-01DOI: 10.1109/ISPACS.2017.8266528
Shaohui Mei, Ruoqiao Jiang, Jingyu Ji, Jun Sun, Yang Peng, Yifan Zhang
The invariance for feature extraction, such as invariance for specificity of homogeneous sample and rotation invariance, is crucial for object detection and classification applications. Current researches mainly focus on a specific invariance of features, such as rotation invariance. In this paper, a novel multi-channel convolutional neural network (mCNN) is proposed to extract invariant features for object classification. Multi-channel convolutions sharing identical weights are used to alleviate the feature variance of sample pairs with different rotations in the same category. As a result, the invariance for specificity of homogeneous object and rotation invariance are simultaneously encountered to improve the invariance of features. More importantly, the proposed mCNN is especially effective for small training samples. Experimental results on two benchmark datasets for handwriting recognition demonstrate that the proposed mCNN is very effective to extract invariant feature with small amount of training samples.
{"title":"Invariant feature extraction for image classification via multi-channel convolutional neural network","authors":"Shaohui Mei, Ruoqiao Jiang, Jingyu Ji, Jun Sun, Yang Peng, Yifan Zhang","doi":"10.1109/ISPACS.2017.8266528","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266528","url":null,"abstract":"The invariance for feature extraction, such as invariance for specificity of homogeneous sample and rotation invariance, is crucial for object detection and classification applications. Current researches mainly focus on a specific invariance of features, such as rotation invariance. In this paper, a novel multi-channel convolutional neural network (mCNN) is proposed to extract invariant features for object classification. Multi-channel convolutions sharing identical weights are used to alleviate the feature variance of sample pairs with different rotations in the same category. As a result, the invariance for specificity of homogeneous object and rotation invariance are simultaneously encountered to improve the invariance of features. More importantly, the proposed mCNN is especially effective for small training samples. Experimental results on two benchmark datasets for handwriting recognition demonstrate that the proposed mCNN is very effective to extract invariant feature with small amount of training samples.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133795984","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}
Cognitive Radio is an emerging technology to improve the utilization of licensed spectrum. Spectrum sensing is one of the key tasks for cognitive radio. Previous research on spectrum sensing has not fully investigated the characteristics of the primary user. This paper analyzes the Markov transfer characteristics of the primary user, based on which the current state of the primary user is predicted to adjust the decision threshold and improve detection accuracy. Firstly, we illustrate the Markov transfer characteristics of the primary user. Secondly, we illustrate benefits of the characteristics and derive the upper bound of the detection probability we can achieve. Finally, we introduce a new algorithm to exploit the Markov transfer characteristics. Simulation results are given to verify the performance of the proposed algorithm in this paper.
{"title":"Constant false alarm energy detection based on Markov transfer characteristics in cognitive radio","authors":"X. Qin, Shengliang Peng, Renyang Gao, Weibin Zheng","doi":"10.1109/ISPACS.2017.8266458","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266458","url":null,"abstract":"Cognitive Radio is an emerging technology to improve the utilization of licensed spectrum. Spectrum sensing is one of the key tasks for cognitive radio. Previous research on spectrum sensing has not fully investigated the characteristics of the primary user. This paper analyzes the Markov transfer characteristics of the primary user, based on which the current state of the primary user is predicted to adjust the decision threshold and improve detection accuracy. Firstly, we illustrate the Markov transfer characteristics of the primary user. Secondly, we illustrate benefits of the characteristics and derive the upper bound of the detection probability we can achieve. Finally, we introduce a new algorithm to exploit the Markov transfer characteristics. Simulation results are given to verify the performance of the proposed algorithm in this paper.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133397652","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}
Pub Date : 2017-11-01DOI: 10.1109/ISPACS.2017.8266511
S. Fuada, T. Adiono
We have performed the short-range audio transfer system through a visible light as a medium using 3 Watt white phosphor LED, where the channel used is line-of-sight (LOS). The audio signal is coming from the PC and processed by analog front-end (AFE) transmitter which consists of the preamplifier, summing circuit, and buffer. The audio input signal amplitude can be adjusted manually by tuning the DC voltage level. In AFE receiver, TIA is used as a current to voltage converter. We used the summing amplifier circuit to set the signal DC level and positioning adjustment. The final block on the receiver circuit is a buffer and connected directly to the loudspeaker. The proposed AFE transceiver circuit has bandwidth around 300 kHz. In this paper, we also investigate the effect of a color filter using mica paper in free space between the transmitter and the receiver.
{"title":"Short-range audio transfer through 3 Watt white LED on LoS channels","authors":"S. Fuada, T. Adiono","doi":"10.1109/ISPACS.2017.8266511","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266511","url":null,"abstract":"We have performed the short-range audio transfer system through a visible light as a medium using 3 Watt white phosphor LED, where the channel used is line-of-sight (LOS). The audio signal is coming from the PC and processed by analog front-end (AFE) transmitter which consists of the preamplifier, summing circuit, and buffer. The audio input signal amplitude can be adjusted manually by tuning the DC voltage level. In AFE receiver, TIA is used as a current to voltage converter. We used the summing amplifier circuit to set the signal DC level and positioning adjustment. The final block on the receiver circuit is a buffer and connected directly to the loudspeaker. The proposed AFE transceiver circuit has bandwidth around 300 kHz. In this paper, we also investigate the effect of a color filter using mica paper in free space between the transmitter and the receiver.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133567058","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}
Pub Date : 2017-11-01DOI: 10.1109/ISPACS.2017.8266516
Min Gao, Jiande Sun, En Yu, Xiao Dong, Jing Li
As the increasing quantities of personal data is collected by individuals, the number of lifelog video is increasing. People make microblogging in the form of the text, later, in form of the text with pictures or videos. In this paper, a cross-media lifelog video retrieval approach is proposed to automatically match the corresponding lifelog video clip from a long lifelog video according to diary description(Fig.2). This model consists of a video captioning model and a text retrieval model. We train an encoder-decoder architecture to effectively learn video captioning by MSVD and MSR-VTT datasets. We use the similarity judgment to achieve the retrieval of the text. The similarity is measured by measuring the cosine distance between the two vectors. We experiment on some participants' lifelog videos and diaries. This approach is evaluated by investigating participants' satisfaction with results of lifelog video selected, the results show most of the testers were satisfied with the results.
{"title":"When diary meets lifelog video","authors":"Min Gao, Jiande Sun, En Yu, Xiao Dong, Jing Li","doi":"10.1109/ISPACS.2017.8266516","DOIUrl":"https://doi.org/10.1109/ISPACS.2017.8266516","url":null,"abstract":"As the increasing quantities of personal data is collected by individuals, the number of lifelog video is increasing. People make microblogging in the form of the text, later, in form of the text with pictures or videos. In this paper, a cross-media lifelog video retrieval approach is proposed to automatically match the corresponding lifelog video clip from a long lifelog video according to diary description(Fig.2). This model consists of a video captioning model and a text retrieval model. We train an encoder-decoder architecture to effectively learn video captioning by MSVD and MSR-VTT datasets. We use the similarity judgment to achieve the retrieval of the text. The similarity is measured by measuring the cosine distance between the two vectors. We experiment on some participants' lifelog videos and diaries. This approach is evaluated by investigating participants' satisfaction with results of lifelog video selected, the results show most of the testers were satisfied with the results.","PeriodicalId":166414,"journal":{"name":"2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","volume":"61-62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117263858","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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